‘Everything they think they know, they should forget’: how trans school workers respond to transphobic discourses
Bibliographic record
Abstract
This article explores how trans school employees redeploy, trouble, challenge, and refuse prevalent discourses about transness and education. Drawing from interviews with 100 school workers in Canada and the United States, we employ Coleman’s (2023) concept of ‘narrative repair’ to consider participants’ responses to an interview question asking what they would like the public to know about their workplace experiences. We show that workers in our study primarily drew from four overarching narratives about the relationship between their transness and their work in schools: 1) trans school workers face increased difficulty; 2) trans school workers have unique strengths; 3) trans school workers are no different from other school workers; and 4) the experiences of trans school workers defy narrativization. Our findings deepen understandings of how broader cultural discourses influence how teachers narrativize their professional experiences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".