The politest form of racism: sexual and reproductive health and rights paradigm in Canada
Bibliographic record
Abstract
The Canadian national identity is often understood as what it is not; American. Inundation with American history, news, and culture around race and racism imbues Canadians with a false impression of egalitarianism, resulting in a lack of critical national reflection. While this is true in instances, the cruel reality of inequity, injustice and racism is rampant within the Canadian sexual and reproductive health and rights realm. Indeed, the inequitable health outcomes for Black, Indigenous and people of color (BIPOC) are rooted in policy, research, health promotion and patient care. Built by colonial settlers, many of the systems currently in place have yet to embark on the necessary process of addressing the colonial, racist, and ableist structures perpetuating inequities in health outcomes. The mere fact that Canada sees itself as better than America in terms of race relations is an excuse to overlook its decades of racial and cultural discrimination against Indigenous and Black people. While this commentary may not be ground-breaking for BIPOC communities who have remained vocal about these issues at a grassroots level for decades, there exists a gap in the Canadian literature in exploring these difficult and often underlying dynamics of racism. In this commentary series, the authors aim to promote strategies addressing systemic racism and incorporating a reproductive justice framework in an attempt to reduce health inequities among Indigenous, Black and racialized communities in Canada.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.032 | 0.023 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.010 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 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".