Fluid: a critical examination of queer artists and their clothing choices
Bibliographic record
Abstract
Fluid is a documentary that explores how self-identifying queer artists self-fashion and engage in cultural production as a two-fold approach to queer worldmaking. The documentary presents the ideas and sentiments of six Toronto based queer artists towards their practice and their clothing choices through a multidisciplinary practice led methodology. Using filmed and audio recorded interviews, Fluid centers the voices of intersectional identities in queer fashion studies. Fluid is the key component of a larger major research project (MRP) that seeks to discover how queer artists engage in queer worldmaking through sartorial choice making, artistic practice and self-expression. Through a series of documented interviews, reflection and analysis, this MRP sheds light on themes of gender performance, resistance, queer failure and survival in the self-fashioning of queer artists. This MRP also makes visible how these themes manifest as cultural production and as an extension of their creative practice.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.023 | 0.035 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".