The impact of stressors on second generation Indian residential school survivors
Bibliographic record
Abstract
From 1863 to 1996, many Aboriginal children in Canada were forced to attend Indian Residential Schools (IRSs), where many experienced neglect, abuse, and the trauma of separation from their families and culture. The present study examined the intergenerational impact of IRS exposure on depressive symptomatology in a convenience sample of 143 First Nations adults. IRS experiences had adverse intergenerational effects in that First Nations adults who had a parent attend IRS (n = 67) reported greater depressive symptoms compared to individuals whose parents did not attend (n = 76). Parental IRS attendance moderated the relations between stressor experiences (adverse childhood experiences, adult traumas, and perceived discrimination) and depressive symptoms, such that second generation Survivors exhibited greater symptomatology. Adverse childhood experiences partially mediated the relation between parental IRS attendance and both adult trauma and perceived discrimination. Moreover, both of these adulthood stressors partially mediated the relation between adverse childhood experiences and depressive symptoms. Finally, all three stressors demonstrated a unique mediating role in the relation between parental IRS attendance and depressive symptoms. Although alternative directional paths could not be ruled out, offspring of IRS Survivors appeared at increased risk for depression, likely owing to greater sensitivity to and experiences of childhood adversity, adult traumas, and perceived discrimination.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".