Specific Incidents Research Articles

Exploring print media coverage of elite athletes' mental illness between 2010 and 2023 in Germany: a quantitative content analysis.

Recently, the stereotype of elite athletes' invulnerabilty has begun to be challenged by an increasing number of elite athletes who talk openly about struggling with mental health. Relatedly, previous research has focused primarily on specific incidents like the media's portrayal of personal disclosures. The purpose of this study was to expand this perspective and give a systematic overview of media coverage related to elite athletes' mental illness by examining more than one decade (2010-2023) of German print media reporting. Specifically, we were interested in changes over time and between broadsheet and tabloid press regarding content-related and formal aspects. Based on a systematic search and screening process in eleven German newspapers and magazines, 699 print media articles were analyzed with a codebook, forming a framework of content-related (reported mental disorder; central thematic focus; sources of comments and quotations; perspectives on the high-performance sports system) and formal categories (article genre; elements of responsible journalism). Univariate analyses and binary logistic regression models were used to examine changes over time (2010-2016 vs. 2017-2023) and differences between types of press (tabloid vs. broadsheet press) regarding content-related and formal characteristics. The results indicate an enhanced awareness towards the topic of mental illness and those affected in recent years within German print media. This was demonstrated by the increased integration of responsible reporting elements, the inclusion of diversified perspectives and the considerate selection of content. Despite this positive trend over time, the findings also suggest that media reporting in the tabloid press bears an increased risk for inappropriate storytelling, focusing primarily on personal tragedies. As personal fate of prominent figures like elite athletes will always meet great interest in the public, it is of utmost importance that the media report responsibly and promote critical thinking in society. The study shows the media's willingness to question conventional ideals embedded in the sports culture and take a more critical approach to the topic of mental illness in high-performance sports. By demonstrating a greater understanding of the importance and the seriousness of the issue, the media might also contribute to improved mental health awareness in society.

Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities

Intelligent transportation systems (ITSs) derive significant advantages from advanced models like YOLOv8, which excel in predicting traffic incidents in dynamic urban environments. Roboflow plays a crucial role in organizing and preparing image data essential for computer vision models. Initially, a dataset of 1000 images is utilized for training, with an additional 500 images reserved for validation purposes. Subsequently, the Deep Simple Online and Real-time Tracking (Deep-SORT) algorithm enhances scene analyses over time, offering continuous monitoring of vehicle behavior. Following this, the YOLOv8 model is deployed to detect specific traffic incidents effectively. By combining YOLOv8 with Deep SORT, urban traffic patterns are accurately detected and analyzed with high precision. The findings demonstrate that YOLOv8 achieves an accuracy of 98.4%, significantly surpassing alternative methodologies. Moreover, the proposed approach exhibits outstanding performance in the recall (97.2%), precision (98.5%), and F1 score (95.7%), underscoring its superior capability in accurate prediction and analyses of traffic incidents with high precision and efficiency.

COfEE: A comprehensive ontology for event extraction from text

Large volumes of data are constantly being published on the web; however, the majority of this data is often unstructured, making it difficult to comprehend and interpret. To extract meaningful and structured information from such data, researchers and practitioners have turned to Information Extraction (IE) methods. One of the most challenging IE tasks is Event Extraction (EE), which involves extracting information related to specific incidents and their associated actors from text. EE has broad applications, including building a knowledge base, information retrieval, summarization, and online monitoring systems. Over the past few decades, various event ontologies, such as ACE, CAMEO, and ICEWS, have been developed to define event forms, actors, and dimensions of events observed in text. However, these ontologies have some limitations, such as covering only a few topics like political events, having inflexible structures in defining argument roles, lacking analytical dimensions, and insufficient gold-standard data. To address these concerns, we propose a new event ontology, COfEE, which integrates expert domain knowledge, previous ontologies, and a data-driven approach for identifying events from text. COfEE comprises two hierarchy levels (event types and event sub-types) that include new categories related to environmental issues, cyberspace, criminal activity, and natural disasters that require real-time monitoring. In addition, dynamic roles are defined for each event sub-type to capture various dimensions of events. The proposed ontology is evaluated on Wikipedia events, and it is shown to be comprehensive and general. Furthermore, to facilitate the preparation of gold-standard data for event extraction, we present a language-independent online tool based on COfEE. A gold-standard dataset annotated by ten human experts consisting of 24,000 news articles in Persian according to the COfEE ontology is also prepared. To diversify the data, news articles from the Wikipedia event portal and the 100 most popular Persian news agencies between 2008 and 2021 were collected. Finally, we introduce a supervised method based on deep learning techniques to automatically extract relevant events and their corresponding actors.

Enhancing Maritime Security In Indonesia: A Case Study Of Indonesian Coastguard Approach To People Smuggling In Strategic Ocean

In the face of globalization and increasing maritime trade, the Maritime Security Agency of the Republic of Indonesia (Indonesian Coast GuardRI) plays an important role in safeguarding the country's waters, particularly the Makassar Strait, against the threat of people smuggling . This study evaluated Indonesian Coast Guard RI's strategy to combat people smuggling , focusing on personnel capacity building, interagency collaboration, and strict regulatory enforcement. This research uses normative legal research methods, using legislative, conceptual, and historical approaches. It belongs to the category of descriptive research, using secondary data consisting mainly of primary legal material (legislation) and secondary legal material in the form of textbooks and scientific journals on people smuggling. The analysis shows (1) indonesian maritime security agency by joint operations and interagency synergy, personnel capacity enhancement, security and safety patrol mandate (2) maritime routes poses through analysis of specific incidents, evaluation of countermeasures, utilization of technology and intelligenc, (3) evaluation of method and strategy effectiveness through training impact on personnel, interagency collaboration, implementation and regulatory compliance, (4) exploration of new technology potential through advanced surveillance system utilization, integration of artificial intelligence, data-driven approaches, (4) analysis of motivations and tactics through analysis of perpetrator motivations, analysis of smuggling and people smuggling tactics. Conclusion of this research is that Indonesian Coast Guard holistic approach, coupled with collaboration with relevant agencies, has positively impacted the reduction of people smuggling incidence. Nevertheless, challenges remain, requiring further research to optimize strategies to more effectively ensure Indonesia's maritime security against the threat of people smuggling .

Digital Echoes of Discrimination: Investigating the Reception of Hate Speech Against Korean Chinese in Online Communities

abstract: This study aims to investigate the circulation, consumption, and learning of anonymous users’ hatred in online communities, focusing on the reception process of hate speech targeting Korean Chinese people, a group long discriminated against by native Koreans and the media. It identifies critical factors shaping attitudes toward Korean Chinese (i.e., Chaoxianzu), defining hate as long-term sentiments resulting from repeated immediate emotions triggered by specific incidents and social identities. This study adopts a grounded theory approach, employing interviews to construct a paradigm model that captures the authentic perspectives of online community users. Following the coding process, 17 categories and 38 subcategories emerged. Online audiences consolidate or maintain their attitudes through admission, resistance, exploration, and reproduction after exposure to hate expressions toward Korean Chinese. Self-intervention, personal experience, quality of verbal stimulation, and patriotism function as interventional conditions or environmental contexts throughout this process.

Game-Based Learning in Modern Military Education: Digital Wargaming as a Tool for Tactical Training

Abstract This study examines the effectiveness of digital game-based scenarios and wargaming in developing tactical skills and decision-making abilities among military cadets. Utilizing the ARMA 3 game, three tactical scenarios—offensive, defensive, and stability and support operations—were tested. The study involved cadets from “Nicolae Bălcescu” Land Forces Academy (NBLFA) Sibiu, selected for their interest in gaming, familiarity with ARMA 3, and knowledge of military tactics. The results showed multiple advantages of using game-based scenarios in military training. The immersive environment provided by ARMA 3 enabled cadets to simulate realistic combat situations, enhancing their involvement and enthusiasm, leading to better knowledge absorption and skills development. Wargaming offered a safe learning environment, eliminating the risks of real exercises while allowing cadets to experience specific events and incidents. In the offensive mission, cadets faced challenges due to incomplete map analysis, highlighting the need to complement map analysis with real terrain reconnaissance. The defensive scenario underscored the importance of flexibility and adaptability of the combat forces’ disposition. In the stability and support scenario, cadets effectively managed civilian-military interactions, demonstrating the potential of digital games to develop broader competencies in multicultural communication and negotiation. The study concludes that digital game-based scenarios effectively prepare leaders for contemporary conflicts marked by conventional or hybrid threats. It recommends implementing a specific wargaming discipline in the military higher education curriculum and extending this approach to Land Forces units for continuous professional development.

Let the cat out of the bag: a critical incident analysis of teaching entrepreneurship competencies from the teachers’ perspective

ABSTRACT This study proposes the Critical Incident Technique as an empirical tool to evaluate the effectiveness of teaching entrepreneurship competencies within entrepreneurship courses by using the Comprehensive Entrepreneurship Competence Model as a theoretical framework. The study focuses on the perceptions and experiences of 15 teachers who introduced in parallel, during two semesters in 2022, the same teaching approach in 39 entrepreneurship courses offered in 5 universities in Estonia, Finland, Italy, Poland, and Portugal. The teachers were asked to describe in detail specific incidents encountered during their teaching experience, without any cognitive filter represented by pre-established items, categories, and elements of evaluation of the teaching process. Then, the incidents were sorted into categories based on similarities in the content and classified as relating to positive and negative outcomes. Our findings contribute to the design of new educational programmes aiming at fostering students’ entrepreneurship competencies, showing peculiarities that need to be considered. Moreover, the study emphasizes the importance of using a range of evaluation approaches when testing a new method and suggests that exploring the teaching process, in addition to learning outcomes, can provide useful insights to inform the design of the teaching.

Framing Celebrity Scientists: How Chinese Media and Public Construct Celebrity-Based Risk Communication in Public Health Emergencies

ABSTRACT The impact of celebrities on public awareness in health communication has been proved to be significant, making it a possible approach for risk communication during public health emergencies. In the early stages of COVID-19, some Chinese medical experts engaged with the public and became “celebrity scientists.” It provides representative cases for studying celebrity-based risk communication approaches. With Dr. Wenhong Zhang as the primary case, this research investigates the construction process of celebrity scientists. Through semantic network analysis (SemNA) and other complementary methods, this study examines Dr. Zhang’s articles (n1 = 45), relevant news reports (n2 = 360), and public tweets (n3 = 12,933), in order to identify the main agendas of media, public and expert during the construction process of celebrity scientists, as well as their similarities and differences. The results reveal three categories in the narratives around the celebrity scientist, highlighting unbalanced focuses and preferences. Notably, the agendas of celebrity scientists, media outlets and the general public are more alike than different, and tend to converge over time. The simultaneous resonance of the media and public is also crucial in the construction of celebrity scientists, as well as specific incidents or turning points. These findings shed light on the application of celebrity-based risk communication approach in emergencies, providing guidance and discussion points for health messaging strategies as well.

Anticolonial Mapping and the 1877 Nez Perce War

In 1927, historian Lucullus V. McWhorter traveled with veterans of the 1877 Nez Perce War to key sites from the conflict. Part of the research material generated from the trip included several maps co-created by Nez Perce War veterans, today housed in Washington State University’s Manuscripts, Archives, and Special Collections Library as part of the Lucullus V. McWhorter Collection. These maps, many drawn in the tradition of American Indian ledger art, provided spatial details of key battle sites and visual representations of specific incidents that occurred throughout the Nez Perce War. In this paper, I argue that these maps constitute examples of Indigenous anticolonial mapping and that they enabled McWhorter to communicate the veterans’ version of events that transpired throughout the war. This, in contrast to other accounts of the period which tended to disregard the white settler theft of lands that prompted Nez Perce resistance and to justify the colonial violence of the U.S. settler state.

The Discourse of Korean Han : Background and Historical Landscape

Abstract: This essay outlines current trends in the discourse on han in what is regarded as a Korean state of mind brought on by the specific nature of Korean history and political evolution: the Korean War, income inequality, mass migrations into the city, oppressive, modernization-minded governments, protest movements, difficult living conditions, colonialism, imperialism, and specific incidents in history that exacerbated the grief and trauma of han among the people. The essay sets out to show how han has been defined by scholars, mostly Korean thinkers but also non-Koreans, and how it has been treated in the modern era. There is a summary of some of the major historical events and conditions that reinforce the presence of han in Korean culture, and the renewal of an interest in the subject after the advent of Globalization. Finally, the essay makes a case for the universal nature of han and how many have begun to see it as not just a Korean phenomenon after all.

Improvisational Conversations: Teaching as an Interpretive Practice

Improvisation is a phenomenon that is deeply embedded in the day-to-day lives of teachers and students. Yet, few educators take the time to consider improvisation as being necessary to reach meaningful understandings with students. This paper is a hermeneutic inquiry that positions curriculum as improvisation by engaging in a conversation that may expand others' understandings of what it is and means to be a teacher who is living well with others. Examining specific incidents that have undergirded my life as a jazz musician and educator, I offer reflections on teaching as being, at its core, an interpretive practice. Drawing further on Gadamer’s (2001) notion of genuine conversation, the history of jazz improvisation and my own lived experiences, I engage in a conversation about why I believe teaching is an interpretive practice akin to improvisation and genuine conversation.

A Study to Assess the Psychological Impact of the COVID-19 Pandemic among Adults of Age 18–30 Years in Vengara Panchayath of Malappuram District, Kerala

Introduction: The coronavirus disease 2019 (COVID-19) pandemic hit India in 2020. The first case of infection was reported in the State of Kerala on January 27, 2020, and the continuous surge of cases, variants of concern, lockdown restrictions, social distancing, and economic impacts were increasingly testing the psychological resilience of the masses. When the global focus has been chiefly on testing, preventing transmission, and vaccination, people are going through a myriad of psychological problems in adjusting to their current lifestyles and fear of the disease. Materials and Methods: An online survey was conducted using principles of convenience sampling and by invitation through text messages to participants. The survey collected data on socio-demographic details and specific incidents that triggered participants’ mental health and measured psychological impact with the help of the Impact of Event Scale-Revised (IES-R) scale. Results: There were 275 responses from the Vengara Panchayath of Malappuram district, Kerala. The respondents’ ages ranged from 18 to 30. Overall, 93.54% of respondents had an extended psychological impact (IES-R score>24). Using the Chi-square test, there is no significant association between the demographic variables and the psychological impacts of COVID-19. Financial hardship during COVID-19 triggered respondents’ mental health (Male-62.67%, Female-58.4%). Conclusion: During the COVID-19 pandemic in India, almost one-third of respondents had a significant psychological impact. This shows a need for a more longitudinal and systematic assessment of the psychological needs of the population, which can help the government formulate holistic interventions for affected individuals.

Emergency exit layout planning using optimization and agent-based simulation

Evacuation preparedness includes ensuring proper infrastructure, resources and planning for moving people from a dangerous area to safety. This is especially important and challenging during mass gatherings, such as large concerts. In this paper, we present the Emergency Exit Layout Problem (EELP) which is the problem of locating a given number of emergency exits and deciding their width such that the time it takes to evacuate the crowd from an arena is minimized. The EELP takes into account the geography of the arena and its surroundings, as well as the number of pedestrians in the crowd and the distribution of these within the arena. The EELP is formulated as a two-stage stochastic mixed integer linear program to handle the uncertainty related to the location of the possible incidents and the distribution of the pedestrians. Two cases are studied, a large concert planned at the Leangen trotting track in Trondheim and a smaller indoor arena. For each case, the EELP is solved for different scenarios, and the suggested layouts are evaluated using an agent-based simulation model. In particular, the potential of incorporating detailed assessment regarding the location and probability of specific incidents and the distribution of pedestrians are investigated. The computational study shows that making a more detailed risk assessment has little effect on the large concert, but a significant impact on the location of the emergency exits for the smaller indoor case. The results also indicate that it is more important to consider the location and probability of specific incidents rather than the pedestrian distribution.

Novel dynamics of the Zoomeron model via different analytical methods

We apply the novel Kudryashov scheme, the 1G′ approach, and the G′G′+G+A technique to handle the Zoomeron model for the first time, which yields several kinds of soliton solutions with some novel dynamic properties. The proposed model handles specific incidents of soliton structures with distinctive characteristics that arise in laser sciences, fluid mechanics, and nonlinear optics. We observe dark soliton, bright soliton, periodic waves, kink waves, anti-kink waves, and breather waves for the mentioned equation by symbolic calculation. The suggested model also produces lump-type breather waves. Density, 3D, and 2D images are used to exhibit the dynamics of the adopted outcomes. The results will be crucial for future research on higher-order nonlinear models.

Persistent Sacrifice: The 'Sacrificial Lamb' Effect, Women Candidates, and Underrepresentation in the 44th Parliament

In August of 2021, Canadian Parliament was dissolved and the 44th federal election was called. Its result was a Parliament that was only marginally more representative of female and gender-diverse candidates than the last. This is in part due to the ‘sacrificial lamb’ effect identified by Melanee Thomas and Marc-Andre Bodet, which highlights the persistence of parties in running women and gender-diverse candidates in unwinnable or ‘swing’ ridings – such that they become ‘sacrifices’ and are destined for failure. Previous research has confirmed the presence of the ‘sacrificial lamb’ effect across several elections. I examine specific incidents of gender-diverse candidates being run in the ‘stronghold’ riding of another party, as well as the slates of candidates in several ‘swing’ and ‘stronghold’ ridings across the country. Further, I consider the likely implications of the ‘sacrificial lamb’ effect and the general underrepresentation of female candidates in the 44th Parliament, as well as the extent to which the ‘sacrificial lamb’ effect may have compromised the freeness and fairness of the 2021 campaign. I conclude that the ‘sacrificial lamb’ effect continued in full force throughout the 2021 campaign, which is likely to have a detrimental impact on the representation of women’s interests, specifically as they pertain to the pressing women’s issues of today.

Can the Left Internal Mammary Artery Be Used During Coronary Artery Bypass Graft Surgery in Patients Undergoing Bone Marrow Transplant? A First Case Report

Introduction: With the improvements in neoplasm treatments and the increased survival of patients with neoplastic diseases, we have entered a new era of having to deal with the complications of senile patients. The issue of bone fusion or the side effects of its delay, such as malunion or infections, are among the concerns for any surgery in patients whose bone marrow is affected by treatment or whose bone marrow blood flow is impaired. The left internal mammary artery (LIMA) is used for coronary artery bypass graft (CABG) surgery with its 2 - 3 times longer lifespan compared to saphenous vein grafts, but its harvest from the sternum affects the sternum blood flow and the outcome of its use is still not identified in patients undergoing bone marrow transplant. This case report is the first report on this issue. Case Presentation: A 60-year-old man with diffuse large B cell lymphoma who had undergone bone marrow transplant a year before had then developed chest pain, which was diagnosed as vessel disease; he was selected for CABG surgery. The LIMA was harvested during the surgery and the left anterior descending artery (LAD) was anastomosed. The saphenous vein graft was also anastomosed to the diagonal artery, obtuse marginatus (OM), posterior descending artery (PDA), and posterior left ventricle (PLV). After the surgery, the patient was followed up for six months, during which time no specific incidents occurred and no sternum-related complications were observed either. Conclusions: In this case report, the use of LIMA in a patient who had undergone a bone marrow transplant and CABG surgery was not associated with any increase in sternum-related complications.

Sentinel event reviews: applications in criminal justice settings

ABSTRACT Sentinel event reviews were developed in the medical, military, and aviation fields and involve systematic assessment of the processes that resulted in a critical event such as an unexpected death of a patient or an airplane crash. The sentinel event review is intended to identify system weaknesses that resulted in the negative outcome and to inform corrective actions. Sentinel event reviews have rarely been used in the criminal justice system, although recent years have witnessed experimentation in the use of review processes to examine negative outcomes such as domestic violence homicides and drug overdoses. This study examined the development and implementation of sentinel event review processes in three midwestern cities. The sentinel event reviews built upon existing reviews of shooting incidents and extended those reviews through a systematic approach that involved deeper investigation into specific critical incidents. The research involved participant observation, review of the materials related to the sentinel event reviews, and a small number of key actor interviews. The results suggest that the reviews hold promise for informing decision makers on system weaknesses and for improving criminal justice practices. Yet, they also revealed obstacles to effective implementation and utilization of sentinel event reviews in criminal justice settings.

Aggressive behavior and severe mental disorders in Prison psychiatry

IntroductionAggressive behavior can be understood as a compelx and social phenomenon. A number of studies have shown that the risk of aggressive behavior is increased for patients with severe mental disorders such as schizophrenia. Although specialized forensic institutions exist in many countries, most offenders with mental disorders are still found in prison settings what corresponds to international literature suggesting an increased prevalence of mental disorders in prison inmates. Still, data on the specific characteristics of patients demonstrating aggressive behavior in medical and mental health settings is limited, especially for prison environments.ObjectivesThe aim of our study was to identify patient characteristics that are potentially associated with aggressive incidents in a prison psychiatric setting.MethodsIn routine documentation in German prisons, specific incidents, as e.g. aggressive behavior are reported through an official reporting system. Analyzing these official reports, we collected all aggressive incidents concerning at the Department of Psychiatry of the Berlin prison hospital between 1997 and 2019. In addition, for each patient acting aggressively, we collected data on an equal number of patients who did not demonstrate this behavior during their hospital stay. For those patients with more than one inpatient treatment period, only the first stay in the prison hospital was included. Furthermore, patients were excluded based on age (younger than 16 or older than 70) or death during treatment. The statistical data was analyzed descriptively.ResultsIn total, 225 treatment episodes were included of which in 118 cases violent behavior were documented. The items older age, German citizenship, previous violent crimes (OR = 0,40, 95 % KI: 0,35 – 1,17) and antipsychotic (OR = 0,28, 95 % KI: 0,14 – 0,55) or antidepressant (OR = 0,35, 95 % KI: 0,13 – 0,88) treatment within six months prior to admission had a rather protective effect on the occurrence of aggressive behavior during inpatient treatment. Alcohol (OR = 1,21, 95 % KI: 0,64 – 2,27) and drug use disorders (OR = 2.18, 95 % KI: 1,09 – 4,44) tended to be risk factors for aggressive behavior. Thus, the results in this prison psychiatric population correspond to the risk factors described in the literature.ConclusionsThe reported results point in the direction that optimising the availability of psychopharmacological treatment options and offering specialized treatment for patients with comorbid substance use disorder may lead to the prevention of aggressive behavior in patients with a schizophrenia diagnosis.Disclosure of InterestNone Declared

Analysis of public opinion on food safety in Greater China with big data and machine learning

The Internet contains a wealth of public opinion on food safety, including views on food adulteration, food-borne diseases, agricultural pollution, irregular food distribution, and food production issues. To systematically collect and analyze public opinion on food safety in Greater China, we developed IFoodCloud, which automatically collects data from more than 3,100 public sources. Meanwhile, we constructed sentiment classification models using multiple lexicon-based and machine learning-based algorithms integrated with IFoodCloud that provide an unprecedented rapid means of understanding the public sentiment toward specific food safety incidents. Our best model’s F1 score achieved 0.9737, demonstrating its great predictive ability and robustness. Using IFoodCloud, we analyzed public sentiment on food safety in Greater China and the changing trend of public opinion at the early stage of the 2019 Coronavirus Disease pandemic, demonstrating the potential of big data and machine learning for promoting risk communication and decision-making.

Shedding Light on the Outcomes of Minorities in Quebec: The Case of the Education to Employability (E2E) Study

Aim/Purpose: The purpose of this study was to observe and analyze the educational experiences of members of the English-speaking Black community in Quebec and how those experiences may have impacted the employability outcomes of participants. More broadly, this study aimed to contribute towards the filling in of certain information gaps pertaining to not just the aforementioned community but racialized and linguistic communities more generally. Background: The article is based on a community research collaboration conducted between the Black Community Resource Centre (BCRC) and the Provincial Employment Roundtable of Quebec (PERT). It followed discussions between the two organizations centering around conducting research on employability and how education factored into employability outcomes. Eventually the decision was made to draft a collaboration agreement and create a research design more concretely. Methodology: Research was conducted by applying a mixed methods approach which incorporated qualitative and quantitative data collection. This was made up of two parts: 1) surveying and collecting educational and employment data from a sample of Quebecers and 2) interviewing participants from the English-speaking Black community in Quebec on their educational and employment experiences. Findings: Firstly, Black survey respondents, irrespective of linguistic identity, recalled receiving more negative actions from their school and school staff compared to survey respondents who did not belong to a visible minority. In particular, Black survey respondents had the highest ratings of specific incidents of discipline/punishment and public shaming/humiliation. These differences between the Black respondents and White respondents were found to be statistically significant after conducting an Analysis of Variance (ANOVA). Second, English-speaking survey respondents, irrespective of race, recalled higher parental involvement in their education and school experiences. Parental involvement in education was observed at a higher rate for English-speaking respondents than for French-speaking respondents. Focus groups were conducted to provide context and depth to the survey findings. In particular, participants described experiencing a lack of sense of belonging, as well as racism perpetrated by school staff and community. Focus group participants also described an evolving perception of their identity as members of Québec’s ESBC. Focus group participants described negotiating their identities as Black English speakers and as Quebecers, with some describing their Quebecer identity as secondary to their race and language. Impact on Society: The impact of this research is that it was able to generate quantitative data on the outcomes of different racialized groups within the sphere of education and show that amongst the sample of participants, there were statistically significant differences in outcomes across racialized and linguistic groups. Furthermore, it offered a space where highly detailed qualitative data could be collected directly from community members, particularly the English- speaking Black community in Quebec. The long-term impact on society will still run its course but it represents a contribution to the body of knowledge on literature pertaining to this community and in this context while also being able to generate further questions relating to race and language in Quebec and how they impact the educational and employment spheres.