Understanding & Fighting Back against the Anti-Trans Movement in "Canada": A Guide for Trans Communities & our Allies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tracking Transphobia is a one-year project, conducted throughout 2023 and 2024, aimed at documenting incidents of antitrans hatred and harassment campaigns in “Canada” to better understand how to respond through strategies promoting safety, support, and solidarity. After a long review of literature, the research team, entirely composed of 2S/TNBGD individuals, conducted dozens of interviews with members of organizations and 2S/TNBGD folks who have faced hateful campaigns from the anti-trans movement in recent years. As a result of this research, our brand-new guide and tool, titled Understanding and Fighting Back against the Anti-Trans Movement in “Canada”: A Guide for Trans Communities & Our Allies, not only presents our findings on the phenomenon but also provides solutions and recommendations. Among these, we can mention: not giving up the fight, not backing down; implementing preventive measures (e.g., data management security); and protecting and supporting members of organizations affected by harassment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 it