Redundant Masculinities? Employment Change and White Working Class Youth
Bibliographic record
Abstract
List of Plates. List of Tables. Preface. 1. Introduction: Young, White, Male and Working Class. 2. The Rise of Poor Work: Employment Restructuring and Changing Class and Gender Identities. 3. The Contemporary Crisis Of Masculinity: It's Hard To Be(Come) A Man or The Problem of/for Boys. 4. Living on The Edge: Marginal Lives In Cambridge and Sheffield. 5. Leaving School: Pathways To Employment and Further Education. 6. Actively Seeking Employment: Committed Workers and Reluctant Learners. 7. Uncertain Transitions: Accidental and Incidental Workers, The Excluded and Escape Attempts. 8. Performing Identity: Protest and Domestic Masculinities. 9. Conclusions: What Is To Be Done About Boys?. Postscript. Appendix 1: Research Methodology. Appendix 2: The Participants. Notes. Bibliography. Index.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 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".