Profiles of childhood adversities in Inuit from Nunavik: description and associations with indicators of socioeconomic characteristics, support, and community involvement
Bibliographic record
Abstract
OBJECTIVES: Distress and associated health problems reported by Nunavik Inuit emanate from heterogeneous roots, including adverse childhood experiences. This study aims to (1) identify distinct childhood adversity profiles and (2) examine associations between these profiles and sex, socioeconomic characteristics, social support, and community involvement among Nunavimmiut. METHODS: In a sample of 1109 adult Nunavimmiut, sex, socioeconomic characteristics, support, community involvement, residential school attendance, and 10 forms of adverse childhood experiences (ACEs) were documented using questionnaires. Latent class analyses and weighted comparisons were performed for three subgroups: 18-49 years; 50 years and above with experience of residential school; and 50 years and above without experience of residential school. The analysis design, the manuscript drafts, and the key findings were discussed and co-interpreted with the collaboration of community representatives, taking into consideration Inuit culture and needs. RESULTS: A total of 77.6% of Nunavimmiut reported having experienced at least one form of childhood adversity. Three ACE profiles were identified among the 18-49-year-olds: low ACEs (43.0%), household stressors (30.7%), and multiple ACEs (26.3%). Two profiles characterized ACEs experienced among the 50-year-olds and over with and without history of residential schooling: low ACEs (80.1% and 77.2%, respectively) and multiple ACEs (19.9% and 22.8%, respectively). Among the group of 18-49-year-olds, as compared to the low ACE profile, the profile with household stressors included proportionally more women (odds ratio [OR] = 1.5) and was associated with lower involvement in volunteering and community activities (mean score reduced by 0.29 standard deviation [SD]) and lower family cohesion (SD = - 0.11), while the multiple ACE profile was related to a lower rate of employment (OR = 0.62), lower family cohesion (SD = - 0.28), and lower satisfaction with ability to practice traditional activities (SD = - 0.26). CONCLUSION: Childhood adversities among Nunavimmiut do not occur in isolation and experiencing multiple forms of childhood adversities predicts lower socioeconomic status, support, and community involvement in adulthood. Implications for the planning of health and community services in Nunavik are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".