Conceptualising cultural safety at an Indigenous-focused midwifery practice in Toronto, Canada: qualitative interviews with Indigenous and non-Indigenous clients
Bibliographic record
Abstract
OBJECTIVE: Cultural safety is an Indigenous concept that can improve how healthcare services are delivered to both Indigenous and non-Indigenous peoples in Canada. This study explored how Indigenous and non-Indigenous clients at an urban, Indigenous-focused midwifery practice in Toronto, Canada (Seventh Generation Midwives Toronto, SGMT) conceptualised and experienced culturally safe care. DESIGN AND SETTING: Interviews were conducted with former clients of SGMT as a part of a larger evaluation of the practice. Participants were purposefully recruited. Interviews were transcribed and analysed thematically using an iterative, consensus-based approach and a critical, naturalistic, and decolonising lens. PARTICIPANTS: Saturation was reached after 20 interviews (n=9 Indigenous participants, n=11 non-Indigenous participants). RESULTS: Three domains of cultural safety emerged. Each domain included several themes: Relationships and Communication (respect and support for choices; personalised and continuous relationships with midwives; and being different from past experiences); Sharing Knowledge and Practice (feeling informed about the basics of pregnancy, birth, and the postpartum period; and having access to Indigenous knowledge and protocols), and Culturally Safe Spaces (feeling at home in practice; and having relationships interconnected with the physical space). While some ideas were shared across groups, the distinctions between the Indigenous and non-Indigenous participants were prominent. CONCLUSION: The Indigenous participants conceptualised cultural safety in ways that highlight the survival and resurgence of Indigenous values, understandings, and approaches in cities like Toronto, and affirm the need for Indigenous midwives. The non-Indigenous participants conceptualised cultural safety with both congruence, illuminating Black-Indigenous community solidarities in cultural safety, and divergence, demonstrating the potential of Indigenous spaces and Indigenous-focused midwifery care to also benefit midwifery clients of white European descent. We hope that the positive impacts documented here motivate evaluators and healthcare providers to work towards a future where 'cultural safety' becomes a standard of care.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.025 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".