(Re)settlement, Displacement, and Family Separation: Contributors to Health Inequality in Nunavut
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A series of relocation events in the Canadian Arctic in the mid-twentieth century contributed to widespread disruption of Inuit families. The objectives of this article are to: 1) provide a synthesis of the literature and oral histories about Inuit and Western academic perspectives on family attachments; 2) share findings from a recent study on perspectives of family relationships, which interviewed Inuit parents—many of whom were children at the time the relocation events in the 1950s and 1960s; and 3) discuss the role of severed family attachments on health inequality in Nunavut. The research was conducted within an Indigenous knowledge framework, specifically, the Piliriqatigiinniq Partnership Community Health Research Model (Healey & Tagak Sr., 2014). Data were collected in face-to-face interviews with twenty Inuit parents in three Nunavut communities. An analytical approach building on the concept of Iqqaumaqatigiinniq (all knowing coming into one), “immersion and crystallization,” was used to identify story elements in the data. Parents in the study identified the experience of forced relocation and/or attendance at residential school as traumatic events for families. These events broke the chain of Inuit knowledge transmission, which participants blamed for health inequalities observed in northern communities today. Participants who did not experience relocation attributed their confidence and ability to communicate health knowledge to the bonds they had with their children. Reclaiming and revitalizing Inuit attachment perspectives is part of the path to overcoming the trauma that Canadian Inuit families have experienced, and which is a contributor to health inequality in the region. Focusing on wellness-promoting pathways in our communities can, in turn, help reduce the health inequality gap in the North.
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.
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 | 0.004 | 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 | 0.001 | 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 | 0.001 |
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 it