First Nations perspectives and approaches to engagement in infant‐family work: attending to cultural safety and service engagement
Bibliographic record
Abstract
Abstract First Nations child and family practitioners, Alison Elliott and Clarisse Slater, yarn here with Jenn McIntosh about the cultural fit and importance of including infants in family therapy. They bring years of experience from the ‘Workin’ With the Mob' clinical program at The Bouverie Centre to bear on building safe and respectful engagement with First Nations peoples and families. They share a First Nations view of the call of the infant and their ancestry and their power to join in bringing healing to parent and family systems. They discuss safe engagement in attempting to build safety in the present, especially for new parents who carry childhood wounds. The baby's capacity to help reframe these conversations into opportunity for new hope and healing becomes central to systemic safety, rather than something to be avoided.
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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 | 0.018 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.043 | 0.054 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 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".