The "Mental" Health of Canada's Indigenous Children and Youth: Finding New Ways Forward
Bibliographic record
Abstract
Focusing, as it is meant to do, on child mental health, this special issue of Healthcare Quarterly singles out for attention a distinctive category of concerns that, when viewed through lenses common to many Indigenous peoples, is arguably better left unmarked. That is, attempts to carve up the world in such a way that health concerns centre on matters of the "mind," on the one hand, and on "physical" ill health, on the other, are expressive of a form of self-understanding that is more consonant with the classic dualisms of traditional, "Western," Cartesian thought (e.g., the mental in counter-distinction to the physical; selves set off against societies), and quite out of place in those more holistic frameworks of understanding favoured by many of the world's Indigenous peoples (Chandler 2010). Why such putative cultural differences might make a difference - or at least a difference in what is written here - is that any account of health matters in which Indigenous people might actually recognize themselves requires, as a constitutive condition of its coherence, a kind of radical reframing - a shift in axes that replaces the arguably "false" dichotomy between mental and physical health with something better approximated by the much-overheard and more broadly inclusive notion of personal and community "well-being."
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.014 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".