Tipping Points: Marginality, Misogyny and Videogames
Bibliographic record
Abstract
In this paper, we detail the conditions of precarity that women face as marginal subjects in the video games industry and as sexualized objects in its creative and cultural projects. We do so through the documentation of recent examples of violent, vitriolic, and hate-filled speech that has been targeted at women who have either spoken out from those margins, or who have been made the object of ridicule from with within the industry’s ranks. These examples demonstrate a form of extreme gender norm reinforcement that has been challenged through feminist activist work in a number of locales in North America. We also recount two activist projects in Canada that reveal how women remain precarious subjects even as they work to overcome their entrenched conditions of precarity through activist, women’s only groups, concluding with an accounting of a governing social and political order that ontologically re-inscribes women and their potential, actual creative capital and labour as peripheral.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.048 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".