The Perinatal Experience of Black Birthing People in Quebec
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim/Purpose: Determine if Black birthing people who delivered their babies in Quebec face more complications, death, and overall worse perinatal experiences than their White counterparts. Background: With the recent surge of research on American Black maternal health demonstrating apparent discrepancies between the rates of Maternal morbidity and mortality, Canada’s lack of interest in this potential issue is more salient than ever. Unlike its southern neighbor, Canada, does not have a concise approach to data collection on maternal health with respect to the birthing parents’ ethnicity or race. Methodology: Qualitative research, including a literature review and the interview of a key informant. The literature review is an analysis of the currently available research on Black maternal health and experience in North America, while the interview tackles the issue on a provincial level. In this 30-minute interview, a medical student and doula answers 15 questions pertaining to the current perinatal conditions of Black birthing people in Quebec. Findings: The perinatal experience of Black birthing people in Quebec is influenced by many factors that are often out of the control of these patients. (1) Having access to Black physicians, (2) having a healthy social support system, (3) having access to complimentary medical resources, (4) the lack of empathy demonstrated by healthcare professionals, (5) determinants of health, and (6) overall culturally unsafe practices are all elements of the perinatal experience that can negatively affect Black birthing parents. Impact on Society: This research could act as a steppingstone for further exhaustive research addressing the Black maternal experience in Quebec. In creating this study, we seek to open the door for more conversations not only on an academic level but hopefully on a juristic level.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it