CYCLIC FLUCTUATIONS OF THE RUSSIAN AND FOREIGN LABOUR MARKET INDICATORS: IN SEARCH FOR NON-STANDARD REACTIONS
Bibliographic record
Abstract
The article presents the results of a comparative analysis of the dynamics of trend-cycles of macroeconomic indicators of the Russian and foreign labor markets for the period from the I quarter 2003 to the IV quarter 2015. The work analyzes fluctuations in the trend-cycles of the following indicators: the level of participation in the workforce (level of EAP), the level of employment and unemployment measured by the ILO methodology. As foreign labor markets, 25 OECD countries are taken. Correlation coefficients between all the labor markets examined for these indicators were estimated. In addition, fluctuations in trend-cycles of indicators are ranked according to the degree of sensitivity to the crisis phenomena of 2008. It is established that the Russian labor market was not characterized by non-standard reactions in comparison with foreign labor markets, including in response to the crisis events of 2008. In this regard, the hypothesis of a “special model” of the Russian labor market has not been confirmed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".