The end of the maternal health moment: an examination of Canada’s evolving global reproductive policy commitments
Bibliographic record
Abstract
Global maternal, newborn, and child health (MNCH) policy has been in ascendancy over the past ten years. It is an issue that at one time struggled to garner the attention of governments and donors, but then became a “cause célèbre,” evidenced by showpiece policies that committed billions of dollars to improving the health of mothers and infants worldwide. At the same time, the status of the maternal subject, as a social and political figure in the Global North, and as a global health policy subject, has been in decline. In this article, I explain the Canadian government’s evolving commitments to this policy domain and posit that the global maternal health moment might be coming to an end. I argue that while the shift from MNCH to sexual and reproductive health and rights (SRHR) expands the (feminist) focus of previous MNCH commitments, recent Canadian government initiatives are unsuccessful in addressing human rights goals, contradict the partnership model of development that implements policy and fosters relationships with communities, fail to meet the requirements of gender justice at both global and local/contextualized levels, and threaten to further diminish the political authority of the maternal subject.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.042 | 0.015 |
| Scholarly communication | 0.014 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".