Flexibility and employment security in Europe : labour markets in transition
Bibliographic record
Abstract
Contents: PrefacePART I: LABOUR MARKET MOBILITY AND IN-WORK TRANSITIONS1. Flexibility and Employment Security in Europe: Setting the SceneRuud Muffels 2. There is More to Job Quality than 'Precariousness': A Comparative Epistemological Analysis of the 'Flexibility and Security' Debate in EuropeJean-Claude Barbier3. Transitions out of Temporary Jobs: Consequences for Employment and Poverty across EuropeAnnelies Debels4. Dreaming of a Permanent Job: The Transitions of Temporary Workers in Italy and SpainVirginia Hernanz, Federica Origo, Manuela Samek and Luis Toharia5. Mobility in the Labour Market: Analysing Career Paths Using Administrative DataMieke Booghmans, Seppe van Gils and Caroline VermanderePART II: 'SCARRING' EFFECTS OF UNEMPLOYMENT AND NON-STANDARD EMPLOYMENT6. Male Labour Market Mobility and Income and Employment Security in Europe Ruud Muffels and Ruud Luijkx7. Unemployment and Worker Career Prospects: A Cross-national ComparisonMarkus Gangl8. Self-employment Dynamics and 'Transitional Labour Markets': Some More UK EvidenceNigel Meager9. Part-time Work and Childbirth in Europe: Scarring the Career or Meeting Working-time Preferences?Didier Fouarge and Ruud Muffels10. Working Time Preferences, Labour Market Transitions and Job SatisfactionGovert Bijwaard, Bram van Dijk and Jaap de KoningPART III: 'BEST POLICY PRACTICES' IN AUSTRALIA, CANADA AND DENMARK11. Labour Market Transitions in Australia: Employment, Flexibility and Security in a Liberal Welfare RegimeStephen Ziguras and Peter Stricker12. From Unemployment to Employment Insurance: Towards Transitional Labour Markets in Canada? Axel van den Berg, Claus-H. von Restorff, Daniel Parent and Anthony C. Masi13. The Danish Road to 'Flexicurity' Where are we Compared to Others? And How did we Get There?Per KongshA j Madsen14. Epilogue. Flexibility and Employment Security in Europe: A Siamese Twin?Ruud MuffelsIndex
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".