Statistics in Focus: Population and social conditions. Labour Market Latest Trends 2nd quarter 2005 data 63.7% of the working age population in employment. 2005.20
Bibliographic record
Abstract
This publication belongs to a quarterly series presenting the European Union Labour Force Survey main results for the EU-25 and for all Member States 1 .-0,4 -0,2 0,0 0,2 0,4 0,6 0,8 1,0 1,2 Changes in activity rate (15-64) Changes in employment rate (15-64) Changes in share of part-time employment (15+) Changes in share of temporary contracts (15+) Changes in unemployment rate (15-64) Changes in longterm unemp.rate (15-64) Men WomenSource: Eurostat, LFS 1 In this publication, as in the previous ones, the data have not been adjusted for seasonal variation, due to the short time series available.Therefore data have to be compared from one quarter to the same quarter one year before.2 Quarterly data are not yet available for Luxembourg.Due to changes in the survey, German and Swedish data cannot be fully compared with the same quarter one year before.3 The unemployment rate calculated in this paper is directly derived from the Labour Force Survey data.The adjusted unemployment series (15+) published on a monthly basis by Eurostat can slightly differ from these results.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.049 |
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".