Marie Clements's The Unnatural and Accidental Women : "Denaturalizing" Genre
Bibliographic record
Abstract
Cet article decrit brievement la notion provisoire de l’auteur sur la «sheer theatre» et l’applique a une piece de Marie Clements sur le meurtre en serie de femmes autochtones, intitulee The Unnatural and Accidental Women. En montrant comment la piece se sert d’elements textuels non verbaux (mouvement, effets sonores, eclairages et projection d’images), Gilbert propose une serie de graphemes physiques et examine comment l’«ecriture» «immaterielle» peut servir a denaturaliser la reception. Un tel deraillement de la reaction prevue au genre conventionnel sert a traumatiser la reception, a etablir des liens entre les dechirures operees au tissu de la representation et les vies brisees des personnages desenchantes de la piece. Il incite egalement les spectateurs a «lire» le recit des personnages a travers le filtre de leur propre experience, de sorte a produire une reponse essentiellement theâtrale pouvant mener a une evolution sur le plan social.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.022 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".