International Employment Ranking 2000
Bibliographic record
Abstract
How can unemployment be combated effectively? Which economic policy corrections are necessary? What can we learn from other countries? To answer these questions, the international employment ranking compares the progress that some of the most important industrial nations have made in their battle against unemployment.The 21 countries compared are Japan, Switzerland, Norway, the Netherlands, the United States, Austria, New Zealand, Portugal, Australia, the United Kingdom, Denmark, Ireland, Canada, Sweden, Germany, Belgium, France, Italy, Finland, Greece, and Spain.The book includes identification of effective tools, analysis of best practices on the basis of the latest OECD data, a presentation of the latest developments in economic, finance, wage and labor market policy, and a ranking of the countries on the basis of an econometric model.The Bertelsmann Foundation undertakes this survey of leading industrial countries every two years. In each of the previous two surveys (1996 and 1998), Japan ranked first and Switzerland second.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".