« Où la licorne nous parle d’anarchies relationnelles » : la vie de licorne selon Anne Archet
Bibliographic record
Abstract
Par l’entremise d’un web-feuilleton, Anne Archet nous invite à repenser les interactions humaines au-delà des binarismes. Vie de licorne raconte les aventures de multiples personnages, liés les uns aux autres par le polyamour, la coparentalité, l’amitié et des pratiques sexuelles non normatives. Armée d’une palette où les couleurs de peau, les orientations sexuelles et les identités de genre des personnages s’unissent, Archet développe un processus de désinvisibilisation de minorités parfois – et même, souvent – oubliées dans l’acronyme LGBTQ+. Les anarchies relationnelles qu’elle dépeint, subvertissent l’espace virtuel pour créer une queertopie. En nous penchant sur ce processus et ces anarchies, nous analyserons la pluralité des voix qui participent d’une flexibilité des identités et des relations non binaires pour ensuite considérer les réactions face à cette pluralité. Il s’agira enfin de poser la question de la fiction et de la réalité qui déboulonnent tout cloisonnement.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.022 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".