Stand-Up Comedy and Social Justice: A Discussion of Freedom of Speech and Inclusive Democracy
Bibliographic record
Abstract
This thesis explores freedom of speech and its capacity to promote individual agency and well-being, relieve the oppression of excluded social groups, and increase understanding and communication across differences in democratic society.The thesis applies the insights of John Stuart Mill, Amartya Sen, and Iris Marion Young to stand-up comedy.The thesis argues that comedians and audiences have a responsibility not to exclude oppressed social groups from comedy and democratic society in general.Open mics fulfill all Young's conditions for inclusive communication, and professional comedians like Robin Tyler, Hannah Gadsby, Dave Chappelle, and Ms. Pat use their comedy to increase communication and understanding across group differences.The thesis concludes that comedy can provide an effective, inclusive, and public opportunity for social groups to voice their needs, concerns, and demands for equal concern and respect, and that comedy can edify the public about their democratic society.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.047 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".