Bibliographic record
Abstract
The first book-length critical reception of Barrie Thorne’s classic book, Gender Play Barrie Thorne’s Gender Play was a landmark study of the social worlds of primary school children that sparked a paradigm shift in our understanding of how kids and the adults around them contest and reinforce gender boundaries. Thirty years later, Gender Replay celebrates and reflects on this classic, extending Thorne’s scholarship into a new and different generation. Freeden Blume Oeur and C. J. Pascoe’s new volume brings together many of the foremost scholars on youth from an array of disciplines, including sociology, childhood studies, education, gender studies, and communication studies. Together, these scholars reflect on many contemporary issues that were not covered in Thorne’s original text, exploring new dimensions of schooling, the sociology of gender, social media, and feminist theory. Over fourteen essays, the authors touch on topics such as youth resistance in the Trump era; girls and technology; the use of play to challenge oppressive racial regimes; youth activism against climate change; the importance of taking kids seriously as social actors; and mentoring as a form of feminist praxis. Gender Replay picks up where Thorne’s text left off, doing the vital work of applying her teachings to a transformed world and to new configurations of childhood.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.041 | 0.009 |
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".