“It was Trans Hell:” Exploring the Schooling Experiences of Trans and Non-binary Youth in Alberta
Bibliographic record
Abstract
This paper highlights findings from a qualitative research study exploring the schooling experiences of transgender and non-binary youth (ages 14-25) in Alberta. Given the unique legislative and cultural context of each Canadian province/territory, this study focused on the schooling experiences of TNB youth, specifically within the socially conservative context of Alberta and its provincial education system, which, historically, has lagged behind other Canadian provinces/territories in sexual and gender diversity inclusion. This study contributes to a growing body of qualitative research focusing on the unique experiences of TNB students in Canada by investigating the school-based experiences of TNB youth in Alberta to better understand their lived experiences and to inform educational policies and practices within the province. The research findings highlight four key thematic areas: (1) climate and culture, (2) supports, (3) education, and (4) safety, which participants identified as critical factors that influence their experience(s) in educational environments.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".