Speaking Up, Speaking Out, and Speaking Back to Feminism in Sport History
Bibliographic record
Abstract
Abstract Looking through the gateway of Title IX and second-wave feminism to NASSH meetings in the mid-1980s, one could see it might take a while for gender politics to gather steam in North American sport history. Though the field rang largely with the voices of male historians and stories of men's sport, challenges were growing from feminist sport historians who were ready and able to speak up and speak out about gender relations in sport history. With this momentum, feminist sport history moved into the twenty-first century primed to gain a growing presence in NASSH. I describe the growing maturity of scholarship in feminist history and highlight insightful studies which “helped rip sports history out of its overly masculine nature.” Finally, I point to a new generation of young sport history feminist scholars renewing and reinventing feminism in their work, while illuminating how they have built their scholarship on the roots and shoots of earlier generations of feminist sport historians.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".