Masks of Language, Culture, and Community: "Sweet Revenge" in Marie Laberge's <i>Le Night Cap Barl</i>
Bibliographic record
Abstract
When Quebecoise playwright Marie Laberge premiered Le Night Cap Bar in Montreal in 1987. most critics compared it unfavorably to her earlier work, calling it a mere "thriller policier," with none of the "social and psychological import" of her earlier plays (Hart). For many, the play 's very genre seemed to diminish its importance, suggesting that its status as a murder mystery reduced its capacity for serious discourse: Marianne Ackerman referred to "a minor genre straining to be something else." Critic Bruno Dostie, however, called Le Night Cap Bar Laberge's "sweet revenge" for the lukewarm critical reception in Montreal of an earlier play.) I find Dostie's term, however unintentionally, particularly felicitous; the play is threaded through with revenge on every level, and Laberge's thriller, far from being minor, depends on the thriller genre itself to accomplish a multilevel revenge for much more than the unenthusiastic critical response to which Dostie refers.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.042 | 0.040 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".