Bibliographic record
Abstract
This dissertation considers sadomasochism (s/m) as an object of knowledge that incites multiple and interpenetrative discourses. I deconstruct psychiatric, feminist, and cinematic articulations of s/m, and consider the ways in which these narratives interact with each other and influence the legal regulation of s/m. My analysis is framed by Foucault’s account in the History of Sexuality, which helps to bring s/m into focus as a discursive product that emerges out of a “knowledge-power-pleasure” regime. Viewed in this light, I argue that when the scientific, feminist, cinematic and legal actors flex their power in producing truth-claims about s/m, this does not shut down pleasure, but proliferates it. To further interrogate the discursive underpinnings that uphold these truth-claims, I draw upon theories of abjection, disgust and expulsion. Part I traces the construction of s/m within the scientific realm, from the early pioneers in sexology, to the recent academic literature that challenges the pathologization of s/m in the Diagnostic and Statistical Manual of Mental Disorders. Part II surveys the “sex wars” in the eighties and nineties, where the issue of s/m (along with other sex-related issues) violently ruptured feminist communities. In Part III, I analyze the cinematic representation of s/m in popular culture, arguing that while the prevailing tone is pejorative, the narratives nonetheless betray a desire for s/m sexuality and its imagined forbidden pleasures. Part IV reviews the legal treatment of s/m pornography in Canada, which until recently has invariably found s/m imagery to be violent, degrading and/or dehumanizing, conspicuously reflecting the anti-s/m feminist perspective. Part V examines the legal treatment of s/m practice in Canada, in which the pathologizing gaze of psychiatry gets replicated. I argue that the law, rather than being a haven of rationality and coherence in its consideration of s/m, has reflected certain essentialist notions of sexuality produced in the non-legal cultural arena. In conclusion, I posit that the reification of s/m in the socio-legal imaginary allows for multiple entries of epistemic resistance. Attempts to foreclose s/m from the realm of acceptable sexuality have ironically offered sadomasochists frameworks for asserting their own subjectivity and membership in the community.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.071 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".