Locating the Ecocentric Self: Inuit Concepts of Mental Health and Illness
Bibliographic record
Abstract
In this chapter, we present some reflections on Inuit concepts of mental health based on ethnographic research and clinical consultations in Nunavik, Quebec. Our aim is to identify cultural knowledge and practices relevant to mental health services, promotion, and planning. At the same time, we hope to show how contemporary knowledge of mental health and illness is a complex and shifting outcome of cultural models of affliction, familiarity with a variety of contemporary forms of counselling and healing practices, popular theories spread through mass media, and the exigencies of a rapidly changing way of life. More than 50,000 people in Canada identify themselves as Inuit (Statistics Canada 2008). Most live above the 50th parallel in the territories of Nunavut and Nunavik (northern Quebec), although increasing numbers make their lives in the major cities of Canada (see Figure 13.1). The Inuit have been among the most intensively studied peoples in the world since their long history of survival in the stark environment of the Arctic has captured the imagination of explorers and anthropologists. In recent years, with increasing control over their land and systematic efforts to record their history and traditional knowledge, Inuit across Canada have become concerned with how to maintain or recuperate the vital elements and values of their tradition while advancing the well-being of their people as equal citizens within a modern multicultural nation. This challenge is especially acute because of the recency and intensity of cultural, social, and economic change in Inuit communities, which has led to radical disjunctures between the experience of the generations (Brody 1975). Many Elders in the communities
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.036 | 0.060 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".