Inequities in cancer care among transgender people: Recommendations for change
Bibliographic record
Abstract
Owing to a shift in social attitudes and human rights standards, health inequities experienced by gender minorities are gaining an increasing spotlight globally. Transgender (trans) is an umbrella term used to describe individuals who have a dissimilar sex, gender identity and/or gender expression than what was designated at birth. Recently, studies have sought to identify health disparities and barriers to care among this population. While oncology-focused research remains limited, the social determinants of trans health elicits a significant impact on transgender people across the cancer continuum and, thus, requires further examination. The purpose of this paper is to explore the issue of trans health inequity in the context of Canadian cancer care highlighting current clinical practice, as well as gaps in research, provider education and health care policy. The paper will conclude with recommendations for policy development and a reflection on the oncology nurse's role in advocating for change.
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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 | 0.061 | 0.121 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.014 | 0.020 |
| Research integrity | 0.022 | 0.030 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".