“I would prefer to have my health care provided over a cup of tea any day”: recommendations by urban Métis women to improve access to health and social services in Toronto for the Métis community
Bibliographic record
Abstract
This article reports on recommendations made by urban Métis women for improving access to health and social services in Toronto, Canada. By applying a conversational method, this research followed up with a subgroup of urban Métis women who participated in the Our Health Counts Toronto longitudinal cohort. Métis women ( n = 11) provided holistic and practical recommendations for improving access to health and social services. These recommendations include (a) Métis presence, (b) holistic interior design, (c) Métis specific or informed service space, (d) welcoming reception/front desk, and (e) culturally informed service providers. During the conversations, the women shared positive experiences with an Indigenous-informed midwifery practice called Seventh Generation Midwives Toronto. Examples from the women will be provided of Seventh Generation Midwives Toronto to illustrate how the recommendations may look in practice. This research illustrates that Métis women hold solutions for improving access to health and social services for the Métis community.
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 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".