France in crisis: welfare, inequality, and globalization since 1980
Bibliographic record
Abstract
France is in crisis. In this provocative account, Timothy Smith argues that the French economic and social model is collapsing inward on itself, the result of good intentions, bad policies, and vested interests who employ the rhetoric of 'solidarity' to prevent change. French social policy is not redistributive; indeed, Smith argues, the majority of 'social' spending serves to strengthen existing inequalities. He shows how politicians, intellectuals and labor leaders have invoked the specter of 'globalization' to explain homegrown problems and delay reform. Professor Smith makes frequent comparisons with the USA, UK, Canada, Scandinavia, Germany and the Netherlands and argues that change need not follow the inegalitarian US or British paths but instead can lead to a more equal society. Written in a lively style, this is an unusual blend of history, policy analysis, economics and political commentary and will be indispensable reading for anyone seeking to understand France's malaise.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".