Queer Theory & Dietetics Education: Interrupting Heteronormativity
Bibliographic record
Abstract
Schools and their classrooms operate within a larger social context (Lemke, 2000). In spite of the changes in the broader social context they remain unsettlingly rigid in their masculine, white, middle-class, heteronormative foundations. It is the latter point, heteronormativity, that this article takes up for discussion and to which Queer Theory is proposed as a mechanism through which to subvert the ‘norm’ of current pedagogical/curricular heteronormative processes. Specifically, I argue that Queer Theory calls attention to the heteronormative undercurrent of dietetic education and may evoke a political consciousness of teaching and learning among dietetic educators and students that disrupts heteronormativity. Moreover, I contend that transgressing the current constructs of pedagogy that remain informed by and complicit in maintaining heteronormativity within dietetics demands that as educators and students we “dare to know”—that we risk confronting privilege and oppression in our classrooms in light of the potentially unsettling insight that teaching and learning is an embodied and relational process that takes place in (hetero)sexualized spaces. The aim of this paper is to contemplate the intersection between heteronormativity in dietetic curriculum and an embodied, subjective development of identity. An analysis of heteronormativity in dietetic curriculum and the prospect of introducing Queer Theory as a means for “interrupting heteronormativity” delivers great potential for stimulating dialogue and debate around issues of diversity, difference, the role of bodies as vehicles of regulation and organization and the fluid nature of identity, sexuality and bodies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.063 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".