LAUGHING IN CIRCLES: EXPLORING THE RELATIONSHIP BETWEEN POLITICALLY CORRECT DISCOURSES AND STAND-UP COMEDY IN TORONTO
Bibliographic record
Abstract
It has been suggested that Canadian society increasingly promotes a rhetoric of tolerance, through the dissemination of multicultural and politically correct discourses. At the same time, there has been a growth in the popularity of performances that seemingly counters this national image; that of risqué stand-up comedy. This dissertation explores if an institutionalized rhetoric of multiculturalism and “PC”, popularized since the late 1980s, is pierced, protracted and parodied within risqué stand-up comedy while remaining confined within spatial and temporal boundaries. Furthermore, this relationship between comedy and multicultural and “PC” discourses illuminates the nature of power circulating within our dialogues about issues of discrimination in contemporary Canadian society. This thesis establishes that both stand-up comic performances and politically correct rhetoric share a carnivalesque nature that while degrades authorial discourses, is ultimately constrained within its self-definition.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.048 | 0.036 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".