Bibliographic record
Abstract
Approaches from the humanities that understand poker as a culture (rather than as a gambling pathology or an isolated gaming activity) can help to highlight the voices and stories of women and connect them to feminist and gender research. Stories by individual women who may or may not be feminists can be most usefully described as “perifeminist,” a description of the strategies to cope with sexism that do not necessarily involve either confrontation or negation. Understanding women’s poker stories within this framework can bring depth and breadth to the representation of female poker players in popular journalism, which generally characterizes female players as objects or accessories for male players. In this article, I analyze the gender politics of memoirs by Annie Duke and Victoria Coren, prominent female players whose texts are widely read, because these memoirs are a good place to look for perifeminist strategies and a sense of what being part of poker culture involves for women. Looking for and noticing the stories of female players and contextualizing them as part of the everyday experiences of gender politics can do much to make the lives of poker playing women more visible, and worthy of critical attention.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.790 | 0.382 |
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".