Connections: An intergenerational feminist game art timeline
Bibliographic record
Abstract
A growing collection of art games can be identified as feminist, this paper gathers historical precedents to create an archive for future research. By identifying key feminist performance, interactive media, technology-based and game artworks over the past fifty years and placing them on a timeline we explore connections across time and context. The initial focus on Canadian artists moves forward to reference key international artists that contribute to a canon of feminist game art. The selection of work is partial, problematic, and inevitably reflects the biases of the authors, but aims at starting a process in the hope that others will diversify the works and framing selected. The research is intentionally promiscuous and pragmatic, offering future feminist game artists a heritage to draw on, a continuum to situate themselves in, or against, and tools for grant writing by identifying historical connections and contexts. By connecting game art to precedents, we look beyond the margins of game studies in a call for new conversations on art games.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".