Bibliographic record
Abstract
Mary-Jean Chan’s poetry collection Fléche contains commentary on 2SLGBTQIA+ safe spaces and the important distinction between safety in public and private realms. For Chan, the private domestic home is an important location of searching for personal 2SLGBTQIA+ acceptance. Yet, their implicit portrayal of these spaces reflects the role that local governments play in the overarching acceptance of 2SLGBTQIA+ individuals. Using my position as a student and educator in Saskatchewan, Canada, I propose a locational link between Chan’s poetic focus in the U.S., Hong Kong, and the U.K. and current provincial concerns regarding the Saskatchewan Party's implementation of Bill 137. This bill impacts 2SLGBTQIA+ and specifically gender non-conforming students in Saskatchewan elementary, middle, and high schools. Through a close reading of government policy, social responses, and Chan’s writing, I point towards the necessity of public and private safe spaces for 2SLGBTQIA+ individuals globally.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.025 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".