The dynamics and regions features of the Ukrainian people employment in 90th of the XX century
Bibliographic record
Abstract
Main factors were defined, which affect on the dynamics and defined regions features of the Ukrainian people employment for 1990th. The effect of the spread the «shadow» economy on the development of the market of job in Ukraine was highlighted. Proved that the government policy on employment has led to the fact that on the beginning of XXI century unemployment was most common in Volyn, Zhytomyr, Mykolaiv, Sumy, Ternopil and Khmelnytsky regions where its level, taking into account the hidden exceeded the critical threshold rate of more than 2–3 times. Low cost remained the national workforce. At the beginning of XXI century nearly a quarter of the working population receiving incomes below the minimum wage. In most regions of Ukraine the level of average nominal wage of employees for a long period did not exceed the poverty line.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".