Future Work Research Articles

REFORMA DO ENSINO MÉDIO DE 2017: AS CONTRADIÇÕES DO DISCURSO DE MODERNIDADE E SEUS IMPACTOS

The present work aims to unveil what is behind the discourse of modernity propagated with the new reform of High School, through law No. 13.415 of February 16, 2017, which modified the Law of Guidelines and Bases of National Education of 1996 and, consequently, the school curriculum. In view of this, in order to understand the dangers brought by the new law to the schooling of high school students, we resorted to the analysis of the French discourse, affiliated with Michel Pêcheux, in which it is possible to consider discourse as human praxis, as it is constituted in historical and social relations, materializing in language. Therefore, in order to understand its meanings, it is necessary to have a process of analysis that considers the relations between language, history and ideology. To achieve this intent, the conditions of discourse production that enabled the constitution of this discourse will be investigated, here the constitution of neoliberalism is considered as an important factor to understand this process. For analysis, the research corpus was constituted from a discursive sequence of the text of the law that discusses the contents, methodologies and forms of evaluation of High School so that at the end of this stage the students begin to demonstrate mastery of the technological and scientific precepts that guide modern production. From this analysis it was possible to understand that other reforms of High School have already been carried out, in similar contexts, and it is interesting to note that there is a return to other discourses. However, we now see a deeper, neo-fascist and authoritarian neoliberalism, which uses the term "modernity" to succumb more and more to the right to life of the working class. For this reason, students in the last stage of basic education are directed to a superficial education that has as its "focus" a false scientific and technological training based on modernity, to disqualify future workers and consolidate the ideology of non-employment.

Designing and assessing experiential learning pedagogy for an intercultural communicative competence training module: a quasi-experimental study

Intercultural communicative competence (ICC) is crucial for future workers in the global job market, where many feels unprepared to communicate effectively with culturally diverse colleagues. Therefore, university students must develop this skill to stay competitive. Experiential learning pedagogy, focused on ICC training, can enhance final-year students’ abilities, offering an alternative to traditional teaching methods. To examine the effectiveness of experiential learning pedagogy in a redesigned ICC module for undergraduates, a multiple-group pre-test and post-test quasi-experimental design was adopted. Data were collected from 31 undergraduate students at two public universities in Indonesia. The module was redesigned to incorporate experiential learning pedagogy, providing various opportunities through face-to-face training workshops. Validated and reliable instruments measured students’ experiential level with the pedagogy and their competencies in intercultural communication. Descriptive and inferential statistics were used to analyze the data. Participants showed a substantial enhancement in the Intercultural Communicative Competency Scale after the training workshop, as evidenced by higher post-test scores compared to pre-test scores. Additionally, the post-test data demonstrated a moderate improvement in participants’ expectations from the pre-test for the experiential learning pedagogy. The findings prove the effectiveness of both the content and the pedagogy of the module. Furthermore, these modules should continually integrate more interactive elements to better meet learners’ needs.

Does Voice Gap Influence Workers’ Job Attitudes and Well‐Being? Measuring Voice as a Dimension of Job Quality

ABSTRACTThis article investigates worker voice as a dimension of job quality and examines its link with job‐related outcomes. We refine and test a multi‐measure concept of the ‘voice gap’ to capture how much influence workers expect to have compared to what they actually have on a set of work‐related issues. Analysing a survey of 1307 American workers, we find that workers distinguish between a voice gap on issues related to their own interests (‘worker‐issues voice gap’) and those related to their employing organization's interests (‘organizational‐strategy voice gap’). Even after controlling for other dimensions of job quality, a larger voice gap is statistically associated with lower job satisfaction and well‐being, as well as higher levels of burnout and turnover intention. Additionally, we find that worker‐issues voice gap has a stronger and more significant effect than an organizational‐strategy voice gap. Based on these results, we recommend incorporating the voice gap measure in future worker voice research and as a practical tool for evaluating voice as a dimension of job quality.

Role of Availability on Actual Purchase Behavior of Organic Food Products: An Application of Theory of Planned Behavior

Aim: This paper examines how consumers' purchase intentions and actual purchase behavior for organic food products are related to the moderating effect of availability and its relationship with those two variables. Methods: Using structural equation modeling, a structured survey of 250 participants revealed that the three components of the theory of planned behavior-attitude, subjective norm, and perceived behavior control impacted consumers' purchase intentions. Results: Findings revealed a strong correlation between purchase intention and actual purchase behavior of the consumers towards organic products. Furthermore, it identifies a few areas for future work that would benefit wholesalers, retailers, marketers, consumers, and scholars. Conclusion: Food provides indispensable nourishment, which leads to a healthy life. However, it has recently come to light that many food products have become unhealthy due to farmers' excessive use of pesticides and chemical-based fertilizers, resulting in several illnesses. Currently, it has been observed that many consumers are attracted to organic food that is healthy, tasty, and free from chemicals, pesticides, and fertilizers. To increase the study's accuracy and utility, further research might be done on additional aspects, such as significant price premiums, a lack of knowledge, confidence in organic certification programs, and quality.

Advancing Towards Energy Self-Sufficiency in Guam and Micronesia through the Development of Workers for the Blue Economy

Seawater and the oceans are the most abundant sources of water on Earth and represent a major reservoir for the production of electrolytic molecular hydrogen (H2), which is the critical clean energy carrier necessary for achieving sustainable social development. However, the high salt content and presence of organic matter in seawater interfere via the water (H2O) electrolysis reaction (2H2O →O2 + 2H2); thus, complicates the direct utilization of seawater. This challenge is particularly relevant for islands in Micronesia, where their remote locations and accessibility to seawater make the delocalized production of H2 and other possible energy carriers a promising strategy for energy independence and regional self-sufficiency.Driving this strategy, the University of Guam (UOG) has partnered with Pacific Northwest National Laboratory (PNNL) to upskill UOG faculty and students on the use of electrochemical equipment through activities aimed at building the foundation for fundamental research in carbon neutral H2 generation. The activities focus on developing an understanding of the reaction complexity of the electrode/liquid interface with the goal of controlling reaction pathways for the electrochemical production of H2 via the hydrogen evolution reaction (HER: 4H+ + 4e- →2 H2) at the cathode and molecular oxygen (O2) via the oxygen evolution reaction (OER: 2H2O →O2 + 4H+ + 4e-) at the anode during the electrolysis of seawater. A fundamental understanding of the reaction mechanisms, kinetics, and influence of the complex environments and the simultaneous transformations that are occurring during the HER and OER is necessary in the realization of technologies that efficiently perform direct seawater electrolysis, while avoiding the pretreatments required for current electrolyzer technologies.This collaboration represents an important partnership between the island of Guam and broader Micronesia and PNNL to train future workers for the Blue Economy. In addition to training future workers for the Blue Economy, the partnership is laying the foundation for UOG to become a major clean energy research center in Micronesia, providing the facilities and expertise to engage researchers in the region. The Micronesian region in the Western Pacific Ocean is a vast and culturally diverse region that includes four main archipelagos comprising of over six hundred islands encompassing 6.7 million square kilometers. The four main island groups in Micronesia include the Caroline Islands, Gilbert Islands, Mariana Islands, and the Marshall Islands. The University of Guam is the only four-year post-secondary educational institution located in Micronesia and establishing itself as the flagship research and partnership institution for all of Micronesia.

Ultrasound breast images denoising using generative adversarial networks (GANs)

INTRODUCTION: Ultrasound in conjunction with mammography imaging, plays a vital role in the early detection and diagnosis of breast cancer. However, speckle noise affects medical ultrasound images and degrades visual radiological interpretation. Speckle carries information about the interactions of the ultrasound pulse with the tissue microstructure, which generally causes several difficulties in identifying malignant and benign regions. The application of deep learning in image denoising has gained more attention in recent years. OBJECTIVES: The main objective of this work is to reduce speckle noise while preserving features and details in breast ultrasound images using GAN models. METHODS: We proposed two GANs models (Conditional GAN and Wasserstein GAN) for speckle-denoising public breast ultrasound databases: BUSI, DATASET A, AND UDIAT (DATASET B). The Conditional GAN model was trained using the Unet architecture, and the WGAN model was trained using the Resnet architecture. The image quality results in both algorithms were measured by Peak Signal to Noise Ratio (PSNR, 35–40 dB) and Structural Similarity Index (SSIM, 0.90–0.95) standard values. RESULTS: The experimental analysis clearly shows that the Conditional GAN model achieves better breast ultrasound despeckling performance over the datasets in terms of PSNR = 38.18 dB and SSIM = 0.96 with respect to the WGAN model (PSNR = 33.0068 dB and SSIM = 0.91) on the small ultrasound training datasets. CONCLUSIONS: The observed performance differences between CGAN and WGAN will help to better implement new tasks in a computer-aided detection/diagnosis (CAD) system. In future work, these data can be used as CAD input training for image classification, reducing overfitting and improving the performance and accuracy of deep convolutional algorithms.

Clashing Gender in the Age of Transnational Infrastructural Capitalism: The Vocational Education and Subject Making of China's Future Workers

Accompanying the “China Dream” as a symbol of the advent of Chinese transnational infrastructural capitalism, a new project of subject making is emerging: an increasing number of Chinese youth, especially those from working-class backgrounds, have entered the expanded urban vocational education system for training as future workers. As a national project attempting to (re)invent educated, skilled labor subjects to serve the state goal of industrial upgrading, vocational education is geared toward entrance into the labor market, producing valuable “marketable subjects” specifically for the enhancement of the export manufacturing sector and a new service sector now increasingly extending to overseas markets. Engaging in a participatory action project in vocational schools between 2016 and 2019, this article’s authors studied students’ learning experiences and examined how the larger structural, political, economic, and cultural forces shape the girls’ and boys’ educational and occupational decisions. To understand the subject making of young Chinese workers, the concept of “clashing gender” is used to illustrate how gender plays a central yet conflicted role, torn between forces of state, market, school, and individual desire, during these young people’s years of vocational training. The article thus illustrates how the postsocialist state’s linking of China’s new economic sectors into the circuits of transnational capitalism produces intimately gendered and subjective effects for working-class youth.

Schema Extraction in NoSQL Databases: A Systematic Literature Review

Introduction: Nowadays, NoSQL databases have taken on an increasingly important role in the storage of massive data within companies. Due to a common property called schema-less, NoSQL databases offer great flexibility, particularly for the storage of data in different formats. However, despite their success in data storage, schema-less databases are a major obstacle in areas requiring precise knowledge of this schema, especially in the field of data integration. Method: This study presents a Systematic Literature Review (SLR) to explore, evaluate, and discuss relevant existing research and endeavors using novel schema extraction approaches. Furthermore, we conducted this study using a well-defined methodology to examine and study the problem of schema extraction from NoSQL databases. Results: Our research results highlight and emphasize the scheme extraction approaches and provide knowledge to researchers and practitioners by proposing schema extraction approaches and their limitations, which contributes to inventing new, more efficient approaches. Conclusion: In our future work, inspired by the recent advances in quantum computing and the emergence of post-quantum cryptography (PQC), we aim to propose a schema extraction approach that blends cutting-edge technologies with a strong focus on database security.

Blood Donation: Fears and Myths in Healthcare Workers of the Future.

To determine the fears and myths related to blood donation in future health care workers. Cross-sectional study. This study was carried out from October to December 2022 at the National University of Medical Sciences (NUMS), Rawalpindi, Pakistan. Donors were selected according to the, WHO recommended, Safe Blood Transfusion Program of Pakistan criteria. In total, 411 participants were included in the study. The individuals were 21-24 years of age, with a mean age of 21 years. In our study, females dominated (232/411); the remaining 179 were males. Out of the total 411, 145 participants had previously donated blood while the other 266had never donated blood. Our study analyzed both of these groups. The most common symptoms experienced by blood donors were dizziness, post-donation weakness, and bodily aches and pains. Most non-donors feared problems related to their general health (42.3%) and developing infections (12.7%). P-value was 0.002, which reveals a significant association between fears and intention to donate blood. These results suggest that fears and concerns related to blood donation play a leading role in forecasting donors' attitudes and intentions. Motivation leads to inspiration and potential donors can be motivated by addressing their fear.

Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges.

Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with computers. Previous studies have achieved significant breakthroughs and extensive applications in the past decade, such as public opinion analysis and intelligent voice service. With the rapid development of deep learning, SA based on various modalities has become a research hotspot. However, only individual modality has been analyzed separately, lacking a systematic carding of comprehensive SA methods. Meanwhile, few surveys covering the topic of multimodal SA (MSA) have been explored yet. In this article, we first take the modality as the thread to design a novel framework of SA tasks to provide researchers with a comprehensive understanding of relevant advances in SA. Then, we introduce the general workflows and recent advances of single-modal in detail, discuss the similarities and differences of single-modal SA in data processing and modeling to guide MSA, and summarize the commonly used datasets to provide guidance on data and methods for researchers according to different task types. Next, a new taxonomy is proposed to fill the research gaps in MSA, which is divided into multimodal representation learning and multimodal data fusion. The similarities and differences between these two methods and the latest advances are described in detail, such as dynamic interaction between multimodalities, and the multimodal fusion technologies are further expanded. Moreover, we explore the advanced studies on multimodal alignment, chatbots, and Chat Generative Pre-trained Transformer (ChatGPT) in SA. Finally, we discuss the open research challenges of MSA and provide four potential aspects to improve future works, such as cross-modal contrastive learning and multimodal pretraining models.

The Application of Kinesin Inhibitors in Medical Issues.

Kinesins are a group of motor proteins in charge of several crucial functions in the cell. These proteins often bind to microtubules and perform their functions using the energy produced by ATP hydrolysis. One function of mitotic kinesin, a subclass of kinesin that is expressed during cell division at the mitotic phase, is to create the mitotic spindle. Uncontrolled cell growth is one trait of cancerous cells. Traditional anticancer medications still used in clinics include taxanes (paclitaxel) and vinca alkaloids (vincristine, vinblastine), which interfere with microtubule dynamics. However, because non-dividing cells like post-mitotic neurons contain microtubules, unwanted side effects like peripheral neuropathy are frequently found in patients taking these medications. More than ten members of the mitotic kinesin family play distinct or complementary roles during mitosis. The mitotic kinesin family's KSP, or Eg5, is regarded as its most dramatic target protein. The current work systematically reviews the use of kinesin inhibitors in the medical field. The challenges of KSP and the practical solutions are also examined, and the outcomes of the previous works are reported. The significant gaps and shortcomings of the related works are also highlighted, which can be an onset topic for future works.

Analysis of the impact of pre-professional education on the health of medical students

BACKGROUND: Education in a higher educational institution is critical for students due to the vulnerability of the young body and the exposure of young men and women to the impact of adverse factors that contribute to health disorders. The solution to the problem of the observed deterioration of the health of students of medical higher educational institutions is currently very acute, since this problem is directly related to the health of future health workers and determines the future of the country. AIM: To assess the health status of students of the Institute of Clinical Medicine named after N.V. Sklifosovsky of Sechenov University on the example of graduates of the Resource Center «Medical Sechenov Pre-University» of the Sechenov First Moscow State Medical University (Sechenov University) in a comparative aspect with graduates of other educational institutions. METHODS: A single-stage selective comparative study of the morbidity rate of students of the N.V. Sklifosovsky Institute of Clinical Medicine of Sechenov University was carried out. The data of the registration form «No 025/у» 1–6-year students for the period from 2018 to 2024 (n=2229, including 414 graduates of the Pre-University) were used. Data analysis was performed using Pearson's χ2 test with Yates correction. The significance level was set as p 0.05. Numerical data are presented with absolute and relative values. RESULTS: It was shown that the number of students assigned to the first and second health groups among Pre-University graduates was higher overall, and the number of those assigned to the third health group was lower compared to their peers who were not Pre-University graduates (p 0.01). An increase in the overall morbidity of students by the sixth year was noted, but to a lesser extent among Pre-University graduates (p 0.001). All students have more frequent eye and apparatus diseases. The second and third places were occupied by diseases of the nervous system and diseases of the respiratory organs. Diseases of the musculoskeletal system and connective tissue were less common. CONCLUSION: The lower morbidity rate among the graduates of the Pre-University is presumably due to the promotion of a healthy lifestyle and rejection of harmful habits during the pre-professional education phase. The data obtained show the need to strengthen work on the identification and prevention of factors of educational environment, reducing the effectiveness of medical and educational measures for the formation of health status of students at the stage of pre-specific education.

Visualization of AI Accuracy: A Novel Assignment for the Teaching of Critical Thinking and Science Writing

Background Rapid changes brought on by generative artificial intelligence (AI) have emphasized the need to teach students to work with this technology while also developing the “robot proof” human skills future workers will need, such as creativity, communication, and critical thinking. Objective The study objective was to explore whether a fact-checking, generative-AI assignment, inserted between the outline, and first-draft stages of a student's literature review writing process, would relate to student classification, perceptions of AI accuracy, and future trust in AI-generated content. Method Students in upper and lower division psychology classes used AI to generate a literature review on their final paper topic, which they then fact-checked for accuracy and usefulness using a color-coded system. Results Lower division students expected more inaccuracy, highlighted less information as inaccurate, and reported greater future trust of AI-generated content than upper division students. Conclusion Students with more experience critically evaluating primary sources may be better equipped to detect inaccuracies within AI-generated content. Teaching Implications Teachers of any course requiring a literature review paper may use this assignment to encourage student use of AI with a critical eye toward recognizing where that content is incorrect.

MuHeQA: Zero-shot question answering over multiple and heterogeneous knowledge bases

There are two main limitations in most of the existing Knowledge Graph Question Answering (KGQA) algorithms. First, the approaches depend heavily on the structure and cannot be easily adapted to other KGs. Second, the availability and amount of additional domain-specific data in structured or unstructured formats has also proven to be critical in many of these systems. Such dependencies limit the applicability of KGQA systems and make their adoption difficult. A novel algorithm is proposed, MuHeQA, that alleviates both limitations by retrieving the answer from textual content automatically generated from KGs instead of queries over them. This new approach (1) works on one or several KGs simultaneously, (2) does not require training data what makes it is domain-independent, (3) enables the combination of knowledge graphs with unstructured information sources to build the answer, and (4) reduces the dependency on the underlying schema since it does not navigate through structured content but only reads property values. MuHeQA extracts answers from textual summaries created by combining information related to the question from multiple knowledge bases, be them structured or not. Experiments over Wikidata and DBpedia show that our approach achieves comparable performance to other approaches in single-fact questions while being domain and KG independent. Results raise important questions for future work about how the textual content that can be created from knowledge graphs enables answer extraction.

The effect of age on musculoskeletal injury compensation costs in South Australian professional urban firefighters: A cohort study.

Firefighting is recognised as a physically demanding occupation involving exposure to hazardous environments and activities. An aging workforce combined with the age-related decline in physical fitness may result in increased future workers' compensation expenditure for fire service organisations. The objective of this research was to investigate the costs associated with musculoskeletal sprain and strain injury and the impacts of age and injury location on Workers' Compensation claims submitted by professional urban firefighters. Claim rates, direct costs, and days lost were extracted from a professional Fire Service organisation's workers' compensation claim database for financial years between 2011 to 2018. The mean cost per claim increased with age, with a mean claim cost of the 60-70-year-old group over 10 times more than the 20-29-year-old group. The mean days lost per claim were also higher for claims submitted by firefighters aged over 50. Older firefighters miss more workdays when injured and are associated with increased claims costs, particularly those in the 60-70-year group. With an aging workforce, Fire Service organisations must implement appropriate management and prevention strategies to reduce the potential risks associated with an aging workforce.

Healthcare students are faced with the issue of the rights of people with disabilities and the quality of services: Are we training future healthcare workers who overemphasize technology?

Introduction: This research describes incorporating the principles of the United Nations Convention on the Rights of Persons with Disabilities (CRPD) in training students at an Italian university. It also describes the perception of students on the rights of people with disabilities and the quality of services using the questionnaire the Well-Being at Work and Respect Right (WWRR), the objective is to compare the responses of students from the faculty of health sciences and health professionals human rights respect, organizational well-being, and job satisfaction in healthcare environments method: Cross-sectional study the data obtained were analyzed using the ANOVA test and Chi-SQUARE test results: University students have little recognition of the professional roles for the social and labor inclusion of users of health services, which promotes rethinking the type of training they receive conclusions: the findings show the need to incorporate in a more detailed way the principles of the CRPD in university training plans that promote an emphasis on disabilities based on human rights, despite the fact that the perception by students is optimistic in relation to respect for the rights of users in health services where they have done their training or practices, these results indicate a reevaluation of university training that gives a balance between technical skills but with an emphasis on human rights and social inclusion in health services.

Works for Me: Personalizing Skilled Trade Worker Training via Smart Hand Tools

ABSTRACTThis paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. This paper has implications for workforce development to address skilled worker shortages. Additionally, it contributes to ongoing research into AI and skilled trade work which is understudied compared to AI and knowledge work.

Pursuing Flawless Experience Starts with the Adjustment of the Visual Layout: ATM Cardless Cash Withdrawal Services Study

Self-service technology is widely used in the financial sector to ensure consumers can easily conduct financial transactions. For example, banks have successfully applied cardless withdrawal services to ATMs. However, many factors still exist as to why cardless withdrawals cannot be widely promoted. In the preliminary investigation work of this study, we investigated the user experience design of cardless cash withdrawals of the top three banks in Taiwan’s ATM market share. After summarizing many problems, we optimized the design to include two sets of typography and guidance. We used the task-oriented cognitive walkthrough method to survey 36 participants and adopted post-task and post-session self-report assessments, such as SEQ, NASA-TLX, satisfaction, preference, NPS, etc. Finally, it is supplemented by semi-structured interviews to understand users’ performance, thoughts, and problems when completing relevant tasks. It was found that users with different experiences have different needs for the interface, which are reflected in different workload items. In addition, the correlation between the scales was discovered, and suggestions were provided for future industry workers who want to practice data-driven UX.

Strategies for Career Readiness in the Age of General Artificial Intelligence

Abstract: As artificial intelligence and automation continue to rapidly transform work and skills requirements, preparing both current and future workers for careers in this evolving landscape is imperative. This practitioner-focused research brief explores strategies for developing career readiness in the age of advancing technologies like general AI. Through a review of relevant literature on forecasting AI's labor market impacts and in-demand future skills, key competencies are identified that complement human strengths versus automatable tasks. These include social-emotional abilities, creative and analytical problem-solving, and digital/technical fluency. The brief then outlines evidence-based approaches for cultivating these skills throughout education and careers, such as embedding complementary skills training, investing in lifelong learning pathways, leveraging mentoring, and fostering a growth mindset. Practical organizational examples demonstrate how leading companies are proactively implementing such strategies. The brief concludes that a focus on essential human capabilities empowered by technology portends continued meaningful work and career prosperity.

New Trends in Migration from Kyrgyzstan to the Russian Federation

In recent decades, population migration has become one of the main components of socio-economic development of Kyrgyzstan. In recent years, Kyrgyz citizens have been working in Russia and Kazakhstan. A comparative analysis of the number and structure of flows of Kyrgyz labour migrants is carried out on the basis of data from a sample national survey of household budgets, the National Statistical Committee of Kyrgyzstan, the Federal Migration Service of Russia, the Main Directorate for Migration Issues of the Ministry of Internal Affairs of Russia, and Rosstat. The key problems of the social and legal situation of Kyrgyz migrants in Russia were identified: lack of registration at the place of stay, restriction/ ban on entry, non-payment of wages, access to medical care, and receipt of pensions. Gradually, under the influence of external and internal factors, new trends of labour migration to the Middle East and the Persian Gulf, the Republic of Korea and Japan, Europe and America have emerged. Migration flows are becoming more and more organised, as they involve the country's public authorities, private employment agencies, international companies and other actors. The study shows that the key needs for Kyrgyz migrant workers in the near future are concentrated in the following regions (in addition to traditional destinations): first, Western European countries (Great Britain and Germany); second, East Asia (Republic of Korea and Japan); third, Eastern European countries (Poland, Hungary, Bulgaria); fourth, the Middle East (Turkey and the Gulf countries); fifth, Northern Europe (Sweden and Finland). The official discourse in Kyrgyzstan is increasingly gaining momentum on the need to transform migration policy from large-scale export of labour resources to employment of surplus labour resources within the country by creating new jobs and expanding production. New ideological approaches to the transition of Kyrgyzstan from the category of countries– exporters of labour resources to the category of countries actively developing their own production and labour market are practically formed.