Youth Employment Policies: Tackling Meanings and Social Norms within National Contexts
Bibliographic record
Abstract
Abstract The transnational urgency of tackling youth employment problems has prompted state interventions, which have strongly geared youth policies toward employability. Applying a cognitive and interpretative approach, this article compares youth employment policies in four contexts—France, Canada, Quebec and Argentina—to highlight frames of reference and social norms involved in public action. The results reveal, first, commonalities and differences in public-policy approaches, in terms of goals, targeted populations, solutions, services and tools. Second, beyond policies’ formal characteristics, semantic analysis highlights the major national references and policy directions in the realm of youth employment. Third, the frames of reference show social norms shaping state solidarity and young people’s role in the labour market. The results stem from a documentary analysis of some 100 youth employment policies and programs, as well as interpretative analysis of interviews (N = 20) with experts and coordinators of some of the main policies in each context.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".