Statistics in Focus: Population and social conditions. Labour Market Latest Trends 1st quarter 2005 data 63.2% of the working age population in employment. 2005.16
Bibliographic record
Abstract
Labour Market Latest Trends 1st quarter 2005 data 63.2% of the working age population in employmentThis 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 . Part-time jobs and temporary contracts stimulate the employment in the EUIn the first quarter 2005, 63.2% of the working age population (15-64 years of age) held a job or other business activity in the EU-25, compared to 62.6% one year before.Among member states, Spain (from 60.3% to 62.1%) and Slovenia (from 63.8% to 65.2%) recorded the highest increases 2 .The gender gap in employment continues to narrow: while the male employment rate increased by 0.4 percentage points from 70.2% in the 1 st quarter 2004 to 70.6% in the first quarter 2005, the female employment rate rose by 0.7 points in a year, to reach 55.8% of women aged 15 to 64 years.As a result of the rise in the employment rate, the share of the active population (employed plus unemployed people) in the whole population aged 15-64 increased, to reach 69.8% in the 1st quarter 2005, compared to 69.4% one year before.The female unemployment rate decreased by 0.5 percentage points while the male unemployment rate decreased by 0.2 points in this period 3 .However, the long-term unemployment rate, which measures the share of the people unemployed for one year and more in the active population, remained almost unchanged (0.2 point decline for women and 0.1 point decline for men).In the EU-25, the share of part-time employment in total employment increased between the first quarter of 2004 and the first quarter of 2005.For men, it grew by 0.6 point to 7.5%, while it rose by 1.0 point to 32.6% for women.The share of temporary contracts also increased.Chart 1: Changes in some labour market indicators of the EU-25 from 2004Q1 to 2005Q1 (percentage point) -0.6 -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 Women Source: 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.From 2005Q1, German data come from a continuous labour force survey while for the previous years they are derived from estimates based on a survey which took place every year in March.So German data and European aggregates for 2005 are not fully comparable with previous years.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 | 0.006 | 0.010 |
| Science and technology studies | 0.000 | 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) | 0.062 | 0.043 |
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".