Sex Education as Neoliberal Inclusion: Hetero-cis-ableism in Ontario' s 2015 Health and Physical Education Curriculum
Bibliographic record
Abstract
In this thesis, I investigate how hetero-cis-ableism and neoliberalism are tied to the production of “good” LGBT2SQ and disabled people and the expulsion of “bad” queers and crips within Ontario’s 2015 Health and Physical Education Curriculum. I argue that the move towards explicit or social justice education and the implementation of LGBT2SQ dialogue is not (simply) a way to represent equality, but a way of insuring the production of a specific type of person. Analysing the curriculum through Foucauldian and poststructuralist discourse analysis, I examined how the new content is being used to illicit hetero and cis-normative identities onto those that have otherwise been see as “less desirable.” Through a pedagogical mix of Queer and Crip Theory, this paper points to inconsistencies and flaws that are inherent within curriculum design itself, and how, regardless of intent, anything created for or within a neoliberal institution can never be fully inclusive.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.039 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".