Alternative methodology for assessment of youth competitiveness in the labor market of Ukraine
Bibliographic record
Abstract
The purpose of the article is to substantiate an alternative methodology for assessing the competitiveness of young people in the labor market, based on the categories of transit from training to decent employment in the context of transformational change.The article explores the School-to-Work Transition Survey (SWTS), which provides an opportunity to analyze the peculiarities of young people's transit to the labor market.The study was conducted within the framework of the "Work4Youth" project, which aimed to identify ways to obtain information concerning the labor market, namely its youth segment.The main purpose of the SWTS was to gather detailed information on the issues, attitudes and conditions in which young people aged 15-29 was entering and securing their jobs in the labor market.The competitiveness of young people in the labor market has been evaluated and the regions have been investigated according to the characteristics of the workplaces, where the state of completion of the transition from school to employment by the young person have been determined.In addition, clusters that are close in characteristics to the group of regions were distinguished.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".