Fair compensation and the affective costs for indigenous doulas in Canada: A qualitative study
Bibliographic record
Abstract
BACKGROUND: In Canada, Indigenous doulas, or birth workers, who provide continuous, culturally appropriate perinatal support to Indigenous families, build on a long history of Indigenous birth work to provide accessible care to their underserviced communities, but there is little research on how these doulas organize and administer their services. METHODS: Semi-structured interviews were conducted in 2020 with five participants who each represented an Indigenous doula collective in Canada. One interview was conducted in person while the remaining four were conducted over Zoom due to COVID-19. Participants were selected through Internet searches and purposive sampling. Interview transcripts were approved by participants and subsequently coded by the entire research team to identify key themes. RESULTS: One of the five emergent themes in these responses is the issue of fair compensation, which includes two sub-themes: the need for fair payment models and the high cost of affective labour in the context of cultural responsibility and racial discrimination. DISCUSSION: Specifically, participants discuss the challenges and limitations of providing high quality care to families with complex needs and who cannot afford to pay for their services while ensuring that they are fairly compensated for their labour. An additional tension arises from these doulas' sense of cultural responsibility to support their kinship networks during one of the most sacred and vulnerable times in their lives within a colonial context of racism and a Western capitalist economy that financializes and medicalizes birth. CONCLUSION: These Indigenous birth workers regularly expend more affective labour than mainstream non-racialized counterparts yet are often paid less than a living wage. Though there are community-based doula models across the United States, the United Kingdom, and Sweden that serve underrepresented communities, further research needs to be conducted in the Canadian context to determine an equitable, sustainable pay model for community-based Indigenous doulas that is accessible for all Indigenous families.
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How this classification was reachedexpand
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 | 0.003 | 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 | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".