Social Risks of International Labour Migration in the Context of Global Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The results of the study of migration risks of labor migrants from Ukraine are presented in this article. The purpose of the study is to find out the differences in the perception of obstacles and risks that arise in the process of work abroad among experienced and potential labour migrants from Ukraine within the cognitive, behavioural, and emotional components of their intercultural competence. The study has been implemented from the standpoint of a set of analytical tools, including: the concept of the advantages of replacing the “risk/reliability” scheme with the “risk/hazard” scheme; views of risk and chance as interrelated variables that motivate people to try to explore the world and overcome obstacles; the concept of “triple individualization” in a risk society. It has been found that social risks are hidden in the imbalance of intercultural competence of experienced labor migrants and are not realized by potential labor migrants. It has been proven that the greatest social danger for labor migrants from Ukraine is the loss of components of competence and initiative. It has been established that the key points of the comparative analysis of social risks faced by labor migrants from Ukraine open up prospects for improving the methodology for studying social (and socio-cultural, in particular) risks.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it