The Life and Politics of Passing: Gender, Professionalism, and the Queer Teacher
Bibliographic record
Abstract
There is a dearth of research that considers how discourses of professionalism intersect with gender and sexual diversity for lesbian, gay, bisexual, transgender, and intersex (LGBTI) teachers in a Canadian context.The Alberta Teachers' Association released its first resource aimed to support LGBTI teachers in early 2018, suggesting that gender and sexually diverse teachers are just starting to gain visibility within their professional organization.Through autoethnography, Institutional Ethnography, and Critical Discourse Analysis, this thesis examines how LGBTI teachers experience and perform their gender in response to conceptualizations of teacher professionalism that dictate queerness-particularly "visible" queerness-as contrarian to the neutral subjectivity that teachers are expected to uphold.With the growing relevance of queer-affirming spaces in school, such as Gay-Straight or Queer-Straight Alliances, it is necessary to examine possibilities of a queer professionalism and changing expectations for professional practice in queer spaces.LGBTI teachers in Alberta need more than recognition from their professional organization and this research begins to conceptualize a queer professionalism for teachers that breaks the bounds of heteronormativity in order to support and celebrate gender and sexual diversity broadly within Canadian schools.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.070 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".