Impact Evaluation of theEuropean Employment Strategy in Ireland. ESRI General Papers
Bibliographic record
Abstract
Recent years have seen dramatic growth in employment following unprecedented economic growth and development during the 1990s. Total employment in Ireland grew by a remarkable 534,000, or by 46%, in the eight years from 1993 to 2001, and over 220,000 of this was achieved between 1998 and 2001. In very recent years, the rate of growth in employment fallen somewhat, from a peak of almost 7% in 1997-1998 to about 4% in 2000- 2001. The rapid growth in the economy and in employment after 1993 led to a steady decline in unemployment from 220,000 in 1993 to 127,000 in the 2nd quarter of 1998 and to 65,000 in the 2nd quarter of 2001. The unemployment rate thus fell from 15.7% of the labour force in 1993 to 7.8% in the 2nd quarter of 1998 and to 3.7% in the 2nd quarter of 2001. With the deterioration in the international economy, and the slowdown in the Irish growth rate in 2001, unemployment increased to just under 80,000, or 4.3% of the labour force, in the 3rd quarter of 2001.
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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 | 0.020 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.010 |
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".