Bibliographic record
Abstract
In this archive the reader will find the primary and secondary sources collected as part of the Canadian Midwives of Colour History Project from which knowledge translation and mobilization projects were derived. This body of resources provides evidence of the existence of previously hidden African or Black midwives who were nation-builders in Canada, who practiced safely as evidenced by the birth registrations of healthy, live infants, and Black midwives who acted as community leaders in British Columbia, Alberta, Saskatchewan, Ontario, and Nova Scotia, Canada. The collection includes government issued documents such as census, birth registrations, immigration documentation and historical publications revealing identity, migration and settlement activities of Black midwives' families. This archive may be utilized for future exploration and knowledge mobilization by future scholars and learners. These sources are not exhaustive but provide a seminal collection that are connected to reproductive health, midwifery work and activism, Black Canadian history and Canadian immigration and settlement trends from 1800 the 1960s. Research Team members included. Dr. Karline Wilson-Mitchell DrNP, Assoc. Professor, Midwife; Dr. Karen Flynn PhD, Assoc. Professor, University of Illinois in Urbana-Champaign historian & archivist; Dr. Margaret MacDonald PhD, Assoc. Professor of Anthropology at York University; Dr. Megan J. Davies, Professor Emeritus York University, medical anthropologist; Dr. May Friedman, Toronto Metropolitan University, social worker; Dr. Cyrus Sundar Singh PhD, U of Toronto, filmmaker; as well as many talented midwifery, immigration and settlement, history and graphics student research assistants.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.023 | 0.039 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.016 |
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".