Social Class Research Articles

Sickness absence due to mental and somatic diagnoses by occupational class in Finland, 2011–2021

Abstract Background Sickness absence (SA) due to mental disorders has strongly increased in Finland during recent years while sickness absence due to somatic diagnoses has continued to decrease. Research is lacking on recent trends in SA by occupational class, especially during years of increasing mental disorders. The aim of the study is to analyze these trends during 2011-2021. Methods National register data from the Social Insurance Institution of Finland (Kela), Statistics Finland and Finnish Centre for Pensions were linked for all employed Finns aged 25-64 for years 2011-2021 (yearly N about 2 million). SA was measured by sickness allowance, compensated by Kela after 10 days of absence. Age-standardized yearly prevalences of SA due to different diagnoses were calculated for women and men in four occupational classes over 2011-2021. Logistic regression was used to assess differences between occupational classes adjusted for age, marital status, education and region of residence. Results SA due to mental disorders has greatly increased in all occupational classes in Finland after year 2016 among both women and men, while SA due to musculoskeletal and other somatic diagnoses has continued to decrease. Increase in SA due to mental disorders has been largest among lower non-manual employees, especially among women, whereby also overall SA prevalence among female lower non-manual employees has reached the level of manual workers. Men show broadly similar trends but manual workers still have the highest overall SA prevalence. Relative adjusted differences between occupational classes decreased slightly between 2011 and 2021. Conclusions Clear occupational class differences persisted in diagnosis-specific SA throughout 2011-2021. However, the magnitude and order of the class differences changed along with increasing SA due to mental disorders. Occupational class differences should be taken into account when aiming to prevent further increases in SA due to mental disorders. Key messages • Sickness absence (SA) due to mental disorders has increased in all occupational classes in Finland after year 2016, while SA due to somatic diagnoses has continued to decrease. • Increase in SA due to mental disorders has changed the overall occupational class differences in SA in Finland largely because the increase has been strongest among lower non-manual employees.

Development of Pancasila monopoly learning media based on SAVI to improve Pancasila education learning outcomes

The low learning outcomes of students in interpreting the rules in the school and home environment need attention. This is caused by the teacher's teaching methods, which are less varied and interesting. This study aims to develop Pancasila monopoly media to improve PPKn learning outcomes. The study applies the 4D development model, which stands for Define, Design, Development, and Dissemination. This model was chosen because the stages of implementation are divided in detail and systematically. The analysis is descriptive of quantitative and qualitative data obtained through observation, interviews, and direct measurements in the field. The results of the media expert assessment obtained a score of 93.7% with very good criteria, and the material expert obtained a score of 96.2% with very decent criteria. Student learning outcomes increased to 82.32 from the previous score of 42.50. The increase was 39.8%. While the control class that did not use media increased its score from 49.05 to 75.48. The results of the N-Gain test obtained an average difference in the experimental class of 39.8 with an n-gain of 0.76 and a moderate criterion, and the effectiveness interpretation obtained a score of 76.50 with a fairly effective criterion. While the control class with an average difference of 26 obtained an N-Gain score of 0.52 on the moderate criterion and an effectiveness level of 52.35, a less effective.

Adolescent well-being in time of crisis: The role of social and residential contexts

Abstract Background It is unknown whether social or residential context during the COVID-19 lockdowns may impact mental well-being. We identified classes of each of social and residential context during the lockdown and examined their associations with mental well-being among French adolescents one-year after the first lockdown. Methods We used data collected in a cross-sectional study design in 2021 from 387 adolescents ages 12 to 15 years enrolled in the school-based pilot study for EXIST. Participants reported social and residential characteristics during the lockdown retrospectively, and current mental well-being in self-report questionnaires. We used latent class analysis to identify classes of social and residential contexts, and linear regression models to study their association with mental well-being. Results Four social context classes were identified: class 1 ‘Low opportunities for social contacts at home’, class 2 ‘Moderate opportunities for social contact at home”, class 3 ‘High opportunities for social contact at home’, and class 4 ‘Very high opportunities for social contact at home’. Compared to class 4, lower levels of mental well-being were observed among adolescents in class 1 (b= -4.08, 95% CI [-8.06; -0.10]) one year after the lockdown. We identified four residential context classes, with differences across classes in proximity to nature, type of residence (e.g., apartment, house), and level of neighborhood deprivation. No association was found between residential context during the lockdown and adolescent mental well-being one year later. Conclusions An unsupportive social environment during the lockdown may have long-term effects on mental well-being among adolescents. Given the observed disparities in social support, future intervention should aim to strengthen social support for adolescents living in unsupportive environments (e.g., remote homework assistance, support for isolated parents, provision of virtual chat rooms for adolescents). Key messages • Mental well-being was challenged among youth with lower levels of social connectedness and support during lockdown, residential context was not associated with adolescent well-being after one year. • During crisis, a critical need among adolescents does not pertain to the physical attributes of their living environment, but rather to social support from friends or family within and outside home.

Study on Fetal and Maternal Outcome of Postdated Pregnancy

Postdated pregnancy is not so uncommon in obstetric practice. When a pregnancy crosses the expected date of delivery (beyond 280 days) it is called postdated pregnancy. The incidence is about 7% of all pregnancies. This prospective observational study was carried out in 165 postdated pregnancies admitted in the Department of Obstetrics & Gynaecology, during a period of 3 years from January 2021 to December 2023 . Majority of the patients were below 25 years of age (47.88%) and primigravida (41.82%). Most of the patients belonged to rural areas (55.75%) and were middle socio-economic status group (45.45%). The majority of these postdated women were delivered by NVD (52.12%), followed by LSCS (32.72%) and instrumental (15.15%). Postdated pregnancy was associated with perinatal complications like meconium aspiration syndrome, oligohydramnios, fetal birth injuries, septicemia, shoulder dystocia, non-reassuring fetal heart rate status, fetal distress in labour. There was an increased risk of maternal complications like increased caesarean section rate, post-partum hemorrhage (PPH) ,cervical tear, perineal tear. Management of postdated pregnancy is challenging. Careful advice and timely interventions can reduce fetomaternal complications. EWMCJ Vol. 12, No. 1&2, January-July 2024: 94-98

Treatment strategy for heart failure patients with guideline-directed medical therapy intolerance: a real-world prospective study

Abstract Background Guideline-directed medical therapy (GDMT) reduces the incidence of worsening events in patients with heart failure (HF) with reduced ejection fraction (HFrEF). However, in actual clinical practice, a proportion of patients are unable to tolerate complete GDMT. Purpose This study aimed to assess the medication strategy for patients with HFrEF who are intolerant to GDMT. Methods A total of 110 patients admitted with acute HF were included in the study. The patients were non-randomly assigned to receive complete or incomplete GDMT after assessment by doctors before discharge from the hospital. All patients were followed up for 180 days. The primary composite endpoint was worsening HF-associated events, including death or rehospitalization due to HF, and the need for intravenous diuretic therapy. The secondary endpoints were the New York Heart Association functional class, blood pressure, and cardiac structure and function assessed by echocardiography. Results The main reasons for GDMT intolerance were renal insufficiency (41.8%) and hypotension (26.4%). GDMT-intolerant patients had lower eGFR (50.4 ml/min/1.73 m² vs. 70.9 ml/min/1.73 m²; p=0.002) compared with those who tolerated GDMT, and included more patients with chronic kidney disease (56.4% vs. 23.6%, p<0.001) and higher NT-proBNP levels (5340 pg/ml vs 8080 pg/ml, p=0.039) at baseline. While patient mortality was similar between the two groups, the rate of worsening HF events was lower in patients with GDMT (hazard ratio: 0.736; 95% confidence interval: 0.389−1.393) and vericiguat treatment (p<0.001). In terms of the secondary endpoint, patients who received GDMT showed greater improvements in cardiac structure and function although there was no statistical difference between the groups. In the prespecified subgroup analysis of the effects of vericiguat on the primary endpoint, the incidence of worsening HF events was reduced by vericiguat, regardless of whether the patient was comorbid with GDMT or not, or whether they had a previous history of HF (p-interaction= 0.519 and 0.227, respectively). Conclusions Patients with early in-hospital initiation of complete GDMT and continuous GDMT after discharge had better outcomes compared with patients who were intolerant to GDMT. Co-administration of vericiguat with or without GDMT may reduce the incidence of worsening HF events in HF patients within 180 days.Results of the primary endpoint

Exploring Urban Socio-Spatial Disparities in Liverpool, Manchester, and Newcastle upon Tyne Metropolitan Areas

In recent decades, rising social disparities in European cities have structured new forms of urban inequalities. Employing an innovative analysis approach based on statistical, geographical, and spatial methods, this paper aims to explore the social geography of population groups in Liverpool, Manchester, and Newcastle upon Tyne by examining how the spatial distribution of socio-economic groups intersects with urban settlements of the resident foreign population. The study addresses methodological challenges in segregation measurement while shedding light on existing spatial patterns of vulnerable groups and emerging trajectories of residential segregation at the metropolitan scale, utilising the most recent UK Census data.

Improving breast cancer care post-pandemic from the patient perspective

Abstract Background Since the onset of the pandemic, breast cancer (BC) services have been disrupted in most countries. The purpose of this qualitative study is to explore the unmet needs, patient-priorities, and recommendations for improving BC healthcare post-pandemic for women with BC and to understand how they may vary based on socio-economic status (SES). Methods 37 women were invited to take part in follow-up semi-structured qualitative interviews in early 2023. The interviews explored their perspectives of BC care since the easing of COVID-19 government restrictions, including unmet needs, patient-priorities, and recommendations specific to BC care. Thematic analysis was conducted to synthesize each topic narratively with corresponding sub-themes. Additionally, variation by SES was analysed within each sub-theme. Results Of the 28 women who participated in interviews, 39% were categorized as high-SES, while 61% were categorized as low-SES. Women expressed unmet needs in their BC care including routine care and mental and physical well-being care, as well as a lack of financial support to access BC care. Patient-priorities included: developing cohesion between different aspects of BC care; communication with and between healthcare professionals; and patient empowerment within BC care. Recommendations moving forward post-pandemic included: improving the transition from active to post-treatment; enhancing support resources; and implementing telemedicine where appropriate. Overall, women of low-SES experienced more severe unmet needs, which resulted in varied patient-priorities and recommendations. Conclusions As health systems are recovering from the COVID-19 pandemic, the emphasis should be on restoring access to BC care and improving the quality of BC care, with a particular consideration given to those women from low-SES, to reduce health inequalities post-pandemic. Key messages • The pandemic has impacted BC services considerably and this study has identified a range of unmet needs, patient-centered priorities, and recommendations. • Particular consideration needs to be given to those women from lower socioeconomic groups, in order to reduce health inequalities, which have been further exacerbated by the pandemic.

11.F. Scientific session: If we build it, will they come? Evaluation of citywide park redesign and renovation in NYC

Abstract Urban environments, such as parks, play a crucial role in shaping the health of their residents. However, the relationship between parks and health remains inconclusive. This workshop will present findings from the Physical Activity and Redesigned Community Spaces (PARCS) Study that examined the community health impacts of the Community Parks Initiative (CPI), a citywide park equity initiative of the New York City Department of Parks and Recreation (NYC Parks) that led to citywide park redesign and renovation across 67 low-income neighborhoods in NYC. Using a quasi-experimental design with socio-demographically matched control parks, we evaluated longitudinal changes in park use, physical activity, and psychosocial well-being as a result of CPI. There will be a total of 3 presentations. The first presentation will focus on the impact of CPI on park use before and after park renovation, relative to control parks, using data collected from the System for Observing Play and Recreation in Communities (SOPARC). Results showed that CPI led to a significant net increase in park use, especially among adults. The second presentation will report on changes in perceived stress pre- and post-renovation among adults. Results showed that a greater decrease in perceived stress was associated with a sustained high or increased park use frequency in the context of high-quality CPI intervention parks. In contrast, the same association was not found in lower quality control parks. The third presentation will showcase a study that demonstrated a significant increase in children’s physical well-being, a dimension of quality of life, at CPI vs. control sites. The analysis also showed that children in the lowest socio-economic group might have benefited the greatest from CPI. PARCS is one of the largest intervention studies on the effects of park renovation on health. This workshop will engage participants in considering how these insights can be translated into actionable programs and policies in service of community health and health equity. Findings from PARCS will help inform future public health and urban planning interventions in the use of the built environment to promote population well-being. Key messages • Urban park renovations may contribute significantly to community health, demonstrating a vital link between the built environment and public health. • Investments in green spaces may enhance the physical and mental well-being of low-income urban communities, promoting social equity.

Unravelling COVID-19 social mortality patterns using conditional inference tree algorithm

Abstract Background The COVID-19 pandemic led to significant excess mortality in 2020 in Belgium. By using microlevel cause-specific mortality data for the total Belgian adult population in 2020, three outcomes were considered in this study aiming at predicting sociodemographic (SD) and socioeconomic (SE) patterns of 1) COVID-19 specific death compared to survival; 2) all other causes of death (OCOD) compared to survival; 3) COVID-19 specific deaths compared to all OCOD. Methods Multivariable logistic regression models were fitted for the three outcomes. In addition, we computed conditional inference tree (CIT) algorithms, complementing regression models, to identify and rank the strongest SD and SE predictors of the three outcomes. Results Older people, males, people living in collectivities, first-generation migrants, and deprived SE groups experienced higher odds of dying from COVID-19 compared to survival; living in collectivities was identified by the CIT as the strongest predictor followed by age and sex. Education emerged as one of the strongest predictors for people not living in collectivities. Overall, similar patterns were observed for all OCOD except for first- and second-generation migrants having lower odds of all OCOD compared to survival; age group was identified by the CIT as the strongest predictor. Older people, males, people living in collectivities, first- and second-generation migrants, and people with lower levels of education had higher odds of COVID-19 death compared to all OCOD; living in collectivities was identified by the CIT as the strongest predictor followed by age, sex, and migration status. Education and income emerged as the strongest predictors among people not living in collectivities. Conclusions This study identified important SD and SE disparities in COVID-19 mortality underlying the importance of implementing preventive measures, particularly within the most vulnerable populations, in infectious disease pandemic preparedness. Key messages • Living in collectivities appeared to be the strongest predictor of COVID-19 death across all age groups, highlighting the importance of preventive measures in reducing the transmission of the virus. • Poor education plays a crucial role in predicting COVID-19 death among people not living in collectivities, highlighting the importance of targeting preventive measures towards low educated groups.

Occupational class difference in COVID-19 symptoms in France: contribution of work-related exposures

Abstract Background The association between socio-occupational class and SARS-CoV-2 infection remains inconclusive and may depend on the setting and the pandemic stage. Our study aims to quantify self-reported COVID-19 symptoms by occupational class (OC) in spring 2020 in France and explain observed differences using work-related risk factors. Methods We analyzed data from the EpiCoV population-based cohort, comprising 46,849 active workers aged 18-64 in metropolitan France. COVID-19 symptoms were sudden loss of taste/smell, fever with cough, fever with shortness of breath, or fever with chest oppression. Separating regions highly affected by COVID-19 from other regions, we related OC with reporting of COVID-19 symptoms and assessed the mediation effect of work-related SARS-CoV-2 exposures (contact with the public, using public transportation, self-perceived exposure) using the Karlson-Holm-Breen mediation analysis method. Results During the study period, 7.1% of the workers reported COVID-19 symptoms. In both regions, work-related SARS-CoV-2 exposures were related to higher reporting of symptoms, and those exposures were more prevalent in the lowest than in the highest OCs. However, the association of OC with reporting symptoms was not the same in the two regions. In less affected regions, the lowest OC reported COVID-19 symptoms less often than the highest OC, whereas in highly affected regions, symptoms were more frequent in middle OCs, and this was partly explained by work-related SARS-CoV-2 exposures. Conclusions Different socio-occupational patterns of symptoms were observed in the two groups of regions. The situation in the less affected regions, with more reporting in the highest relative to the lowest classes, may be attributable to exposure factors playing a role opposite to that of work-related exposures. Further studies on OC disparities in COVID-19 severity are needed based on hospitalization and mortality. Key messages • During the early pandemic, in regions less affected by COVID-19, the upper occupational class reported more COVID-19 symptoms, whereas the middle class did so in highly affected regions. • Work-related exposure to SARS-CoV-2 mediates the association between occupational class and reporting COVID-19 symptoms to some extent, even when the occupational gradient is reversed.

The Preparedness Paradox in Climate Attitudes: Democrats Worry, Republicans Prepare

ABSTRACT Political partisanship is one of the strongest correlates of climate change attitudes in the United States, with Democrats expressing greater concern than Republicans. As the climate crisis progresses, surveys increasingly examine preparedness for environmental emergencies, instead of climate attitudes alone. Does partisan identification associate with environmental preparedness actions as it does other climate attitude measures? We find a paradox: Republicans are more likely to say they have taken preparedness actions than Democrats. We replicate this finding in three survey samples (n = 1,053; n = 1,201; n = 2,318) and provide two sociological explanations. Theoretically, a culture of emergency preparedness integrated with conservative belief systems could strengthen the partisanship association, especially if preparedness is not closely tied to other climate attitudes. Empirically, household income is associated with specific types of preparedness actions, possibly introducing bias based on social class. We discuss the importance of measuring climate preparedness for the future of climate opinion research and climate policy and call for preparedness measures that are applicable to the general population.

Faster extraction of matrimonial advertisements from digital archives using a signal processing pipeline: a case study on a 20th-Century Spanish newspaper

ABSTRACT With the exponential growth of digitized historical materials, historians and social scientists face the daunting task of navigating vast online collections. While online archives do provide search tools to query their materials, these usually do not meet the scholars’ need to trace and store all relevant materials from the online archive. This case study shows how computer vision methods, and more specifically a signal processing approach, can be used to identify, classify and extract relevant information items from a vast historical data collection. More specifically, this study reports the results of the construction of a data pipeline that extracts matrimonial advertisements from the digitized Catalan newspaper La Vanguardia. Matrimonial advertisements can provide genuine insights into the evolution of partner preferences over time, but they are hard to collect as they are scattered over millions of digitized historical newspapers and magazines. Moreover, to study variation in partner preferences by, for example, sex, social class, matrimonial status and time period, it is necessary to store the data into a database. The pipeline that we have constructed extracts matrimonial advertisements in a stepwise fashion, encompassing identification, through binarisation and segmentation, and classification based on Optical Character Recognition. By ways of a comprehensive evaluation, both qualitatively and quantitatively, the efficacy of the pipeline for the extraction of matrimonial advertisements is demonstrated. The findings not only underscore the viability of the signal processing approach but also underscore its potential for advancing research in historical demography, family history, as well as economic history, as similar pipelines can be set up to extract other relevant newspaper items, such as, marriage, birth, death and moving announcements, job vacancies or business announcements from digitized source collections.

Exploring the Relationship Between Health and Out-of-Pocket Health Expenditures: Evidence for Middle-Aged and Older Adults in China

Background/Objectives: With population aging, disability and chronic conditions are increasingly prevalent among middle-aged and older adults in China. Using panel data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, this paper explores the effects of Activities of Daily Living limitations, Instrumental Activities of Daily Living limitations, and chronic conditions on Out-of-Pocket Expenditures (OOPEs) among middle-aged and older adults in China. Methods: A first-difference model and a system-generalized method of moment model (GMM) are used. Results: The system-GMM model for the first time addresses unobserved heterogeneity and produces unbiased estimates of the effects of health and OOPEs. Additionally, this paper assesses the heterogeneity of the results across the demographic and socioeconomic groups. Conclusions: These findings can be used to inform policymakers on improving medical resource allocation and ensure better financial protection for those living with a disability and chronic diseases.

Shared Class, Shared Opinion? Policy Preference Congruence Between Citizens and Legislators

AbstractRecent studies have shown that policymakers and policy outcomes in advanced democracies are biased against the preferences of less affluent and working‐class citizens. One reason for this inequality in substantive representation might be that most policymakers are well‐off themselves. In this paper, we explore the effect of shared class background on the congruence between legislators' and citizens' policy preferences. To do so, we rely on original data from surveys conducted among citizens and active legislators in Switzerland. We focus on six economic and welfare policy proposals where we find differences in opinion between social classes. When we match legislators' and citizens' opinion in a one‐to‐many relationship, we find that social class matters more for lower social classes than for the more affluent, at least for some policy proposals.

Community Engagement in the Management of Urban Green Spaces: Prospects from a Case Study in an Emerging Economy

Urban green spaces (UGSs) play a vital role in enhancing the quality of life in cities, particularly in rapidly urbanizing regions such as the Metropolitan Region of São Paulo (MRSP). However, significant challenges related to equitable management and access persist, often exacerbated by socio-environmental inequalities. While much of the existing literature on UGS management focuses on developed economies, there is a gap in our understanding of how community engagement influences UGS outcomes in emerging economies, which face unique socio-economic and infrastructural constraints. This study addresses this gap by investigating the impact of community engagement on UGS management in the MRSP, specifically examining how increased participation correlates with improved UGS access and reduced socio-environmental inequality. Utilizing survey data from 33 municipal environmental departments across the MRSP, this research applied correlation tests, generalized linear models, and a non-parametric analysis of variance to evaluate the relationships between community engagement, UGS coverage, and inequality. The findings reveal a moderate positive correlation between community engagement and UGS coverage, alongside a negative correlation with socio-environmental inequality. Increased levels of community participation were associated with greater access to UGSs and a reduction in disparities across socio-economic groups. These results underscore the potential of fostering community involvement in UGS management to promote urban equity and environmental sustainability in emerging economies, particularly through institutional support and transparent information sharing. Future research should focus on longitudinal studies to better understand the long-term effects of sustained community engagement and incorporate qualitative data from community members to provide a more comprehensive analysis of participatory processes. Additionally, expanding the scope of analysis to include informal and private green spaces will offer a more holistic understanding of urban greening dynamics.

Promoting equality in utilization of basic public health services in China: the role of the family doctor contract service

Background The Family Doctor Contract Service (FDCS) system is a service model for primary care reform launched in 2016 to offer families and individuals active and continuous health care by a team of family doctors within primary care institutions in China. Objectives This study aimed to estimate socioeconomic-related inequalities in the utilization of basic public health services, and to identify the contribution of FDCS to promoting equality. Methods Data for the study were collected from a 2023 cross-sectional household health survey in western China, involving 39,456 participants. The concentration index (C) was employed for analyzing the extent of socioeconomic-related inequalities in the utilization of basic public health services and the coarsened exact matching technique was employed for sensitivity analysis in order to reduce selection bias. Results Our results indicated pro-poor inequalities in the utilization of health records (C = −0.046), free health check-ups (C = −0.009), and follow-ups for hypertension (C = −0.051). Additionally, a more equitable distribution across the economic spectrum was observed within the FDCS group (people who voluntarily contracted for services) compared to the non-FDCS group. The FDCS demonstrated more favorable positive impacts among individuals with higher (quintiles 60–80%) and the highest (top 20%) socioeconomic status. The FDCS contributed 83.94%, 59.24%, and 36.92% to pro-poor inequalities in the utilization of three basic public health services. These contributions reflected the positive impact of the FDCS on utilization. Conclusions Government policy and service delivery models require a paradigm shift to promote a stronger primary healthcare approach to practice, as evidenced by the effectiveness of the FDCS in promoting equality.

Predicting wood moisture classes by sound frequency spectra and Explainable Machine Learning during milling

ABSTRACT Varying moisture content in wood lead to problems in the automatic selection of optimised machining parameters. Therefore, production in the wood sector can be improved by the automatic identification of moisture classes during machining. In this work, wood milling was monitored by a novel optical microphone to detect differences in wood moisture classes. A full factorial randomised design was executed along with four moisture classes (dried, conditioned, wet and frozen) and two cutting speeds as independent variables. The measured signals were segmented by extracting information from each cut and were transformed to the frequency domain. A supervised univariate feature ranking based on χ ²-tests was applied to select the most important frequencies. Machine Learning was applied to the selected spectral data to classify the cutting speeds and moisture classes. After testing several classification models, ensemble models with regression-tree learners were the best-performing model type achieved an average validation accuracy of 97.2%. The model explanation was done by Local Interpretable Model-Agnostic Explanation based on regression trees as a simple model, where the frequencies that are responsible for the separation of the data could be identified and were used for retraining the model, achieving a validation accuracy of 90.5%.

Resistances to critical language awareness: understanding the role of social class and double consciousness

ABSTRACT Drawing from students’ reflections, classroom observations, and individual interviews, this study examines the case of a Spanish for Heritage speakers class comprised of Heritage Speakers (HS) and international Latin American students in a predominantly white institution (PWI). Focusing on the development of Critical Language Awareness (CLA) , this study shows the various forms of resistance toward these pedagogies (e.g. withdrawal, class divisions, turning to meritocratic answers, among others) across students of different social classes (upper-middle class, working-class, international students from Latin America). This study demonstrates how students resisted structural explanations around Spanish language maintenance, instead resorting to either meritocratic understandings or the family as the primary locus of language maintenance. The epistemological concept of ‘double consciousness frames the experiences of working-class HSs who struggled between feelings of empowerment through CLA and negative perceptions of their own linguistic practices. These feelings were mediated by the challenge of affirming their language identities in the context of a PWI that privileges upper-middle-class cultural values. The study argues that while CLA begins a process of critical consciousness, we need to pay attention to the contextual factors and dynamics that lead to different forms of resistance.

THE PORTRAYAL OF BLACK FEMINISM IN GARY GRAY'S SET IT OFF THROUGH CRITICAL RACE THEORY

Stories in films are based on social realities in people's lives, embedding messages behind them. Each film is packed with unique characters, events and issues reflecting aspects of life from a particular perspective. One of which is the principles of black feminism in the main characters and to analyze how economic and racial factors influence the character's decision to confront existing injustices depicted in Gary Grey’s Set It Off (1996). The method used is a qualitative research method. Data collection is conducted to sort and understand the research topic by using data from scenes, dialogues, words, and phrases obtained from the film. The main theories used in this research are the Critical Race theory by Kimberlé Crenshaw and the Feminist Economics theory by Marilyn Waring. The findings reveal that the film encompasses principles of black feminism such as racial discrimination, sexism and social class which are portrayed by each main character in the film. This article also depicts the influence of economic and racial factors on the character's decisions in confronting existing injustices. Analyzing this film aims to trigger and enrich the analysis of how films depict the struggle of black women with various problems, especially racial and economic issues.

The effect of using biography in social studies teaching on academic success

One significant challenge in Social Studies classes is students’ struggle to grasp abstract concepts appropriate to their age. To address this issue, abstract topics outlined in the curriculum must be translated into more tangible forms tailored to student's comprehension levels, which necessitates the utilization of diverse teaching materials. Any material aligned with course objectives facilitates student comprehension. Biographies are one of the materials employed in classes. This study aims to investigate the impact of incorporating biography into Social Studies class instruction on students' academic achievement. The research problem focuses on examining whether there is a significant difference in academic achievements between students in the experimental group, which is taught with biographies (the experimental group), and those instructed through a program-based approach in the control group. To address this research question, a pre-test-post-test control group experimental design was adopted, which involved forming two groups through impartial assignment. One of these groups is the experimental group, and the other is the control group. In the implementation of this research, a pre-test was administered to the experimental and control group students. Subsequently, during Social Studies instruction, the experimental group received lessons explained using the biography method, while the control group followed the standard program-based approach. Measurements were taken before and after the experiment in both groups. The collected data were analyzed using the SPSS package program. The findings revealed that using the biography method in Social Studies instruction had a positive effect on students’ academic achievement.