“I Don't Think This Is Theoretical; This Is Our Lives”: How Erasure Impacts Health Care for Transgender People
Bibliographic record
Abstract
For people who are transgender, transsexual, or transitioned (trans), access to primary, emergency, and transition-related health care is often problematic. Results from Phase I of the Trans PULSE Project, a community-based research project in Ontario, Canada, are presented. Based on qualitative data from focus groups with 85 trans community members, a theoretical framework describing how erasure functions to impact experiences interacting with the health care system was developed. Two key sites of erasure were identified: informational erasure and institutional erasure. How these processes work in a mutually reinforcing manner to erase trans individuals and communities and produce a system in which a trans patient or client is seen as an anomaly is shown. Thus, the impetus often falls on trans individuals to attempt to remedy systematic deficiencies. The concept of cisnormativity is introduced to aid in explaining the pervasiveness of trans erasure. Strategies for change are identified.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.023 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".