Statistics in Focus: Population and social conditions. Labour Force SurveyPrincipal results 2001Candidate Countries. 2002.20
Bibliographic record
Abstract
THEME 3 -20/2002Countries (CC-11 -see explanatory notes).>43 million had a job during the reference week of the survey:-The employment rate reached 57.8% of the population aged 15-64 compared to 63.9% in the EU.The rate was highest in Cyprus at 67.9% and lowest in Bulgaria at 50.7%.-9.8% of employed persons declared themselves as working part-time compared to 18% in the EU.Part-time employment represented 12% of total female employment (from 13% in Cyprus to 3.8% in Slovak Republic).-31 million workers were employees (72.9% of total employment) and 8% of them had a contract with limited duration (10% or more in Cyprus, Poland and Slovenia).-The average working hours were 41.3 hours a week for full time employees and 23.8 hours for part-time employees (respectively 40.4 and 23.2 for females).In the EU the average working hours were 40.1 hours a week for full time employees and 19.8 hours for part-time employees.>6.4 million people were unemployed, which represented 13% of the overall CC-11 labour force (13.4% for women).The EU unemployment rate was 7.3%.-About 4 million of the unemployed in the CC-11 were looking for full time employment with half of them looking for more than one year.Long term unemployment unemployment (one year and more) represented 52.4% of unemployment as a whole compared with 44% in the EU.-28.8% of the labour force aged 15-24 years old was unemployed compared with 14% in the EU, ie.10.9% of the total population of the same age in the CC-11 and 6.6% in the EU.>36 million people aged 15 years and more were inactive.m& eurostat
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.036 |
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".