Economic Activity of Groups Being in a Specific Situation in the Labour Market in the Lodz Province
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this study is to determine the structure of economic activity among selected groups of individuals experiencing the greatest difficulties in the labour market, especially: people under the age of 30, people over the age of 50, persons with disabilities, women and people caring for dependents, as well as the characteristics of these particular groups. The study includes a deepened analysis of the employment structure by employment status, work contract and working time in the analysed groups. Also the reasons for part-time work and economic inactivity have been identified. Thestudy uses cross-sectionaldata from theLabour Force Survey for the fourth quarter of 2013 as well as the data from The Assessment of Resources of Social Assistance in the Lodz Region for the year 2015 and covers the Lodz province.
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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 | 0.006 | 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 | 0.001 |
| 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 it