Revitalising strong cultural connections and resilience: Co-designing a pilot Elder-led mentorship program for Indigenous mothers in a remote northern community in Alberta, Canada
Bibliographic record
Abstract
Connecting with traditional knowledge and culture promotes the well-being of Indigenous parents and creates healthy environments for child development. Community Elders in a remote northern community in Alberta, Canada, collaborated with researchers to design a pilot Elders Mentoring Program. The programme aims to support young Indigenous mothers(-to-be), bringing back cultural traditions and teachings. Twelve workshops for Indigenous mothers(-to-be) focused on cultural activities and passing down traditional knowledge from Elders. Nine mothers(-to-be) completed a survey about their perinatal and postpartum experiences and care needs. Sharing circles with Elders and individual debriefings with mothers were conducted to understand their experiences in the workshops. Survey responses showed limited childcare services and transportation availability as barriers to accessing perinatal and postpartum support. Four themes emerged from qualitative data analysis: (1) the meaningful role of Elder mentorship for Indigenous mothers(-to-be); (2) Weekly workshops provided a safe space to share and develop relationships; (3) Participation in workshop activities fostered positive coping and improved self-esteem; (4) Elder-led workshops encouraged cultural connection and transference of traditional knowledge to younger generations. Cultural workshops led by Elders enhanced the connection to culture and resilience for Indigenous mothers and expectant mothers in a remote northern community.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".