Appraisals of discriminatory events among adult offspring of Indian residential school survivors: The influences of identity centrality and past perceptions of discrimination.
Bibliographic record
Abstract
As part of a government policy of assimilation beginning in the mid-1800s, a large proportion of Aboriginal children in Canada were forcibly removed from their homes to attend Indian Residential Schools (IRSs), a practice which continued into the 1990s. This traumatic experience had lasting negative effects not only on those who attended but also on their offspring, who were previously found to report higher levels of perceived discrimination and depressive symptoms compared with Aboriginal adults whose families were not directly affected by IRSs. In attempt to elucidate the processes involved in these previous findings, the current study (N = 399) revealed that greater levels of past perceptions of discrimination among IRS offspring, together with their greater likelihood of considering their Aboriginal heritage to be a central component of their self-concept (i.e., high identity centrality), were associated with an increased likelihood of appraising subsequent negative intergroup scenarios to be a result of discrimination and as threatening to their well-being. In turn, these altered appraisals of threat in response to the scenarios were associated with higher levels of depressive symptoms relative to non-IRS adults. The apparent reinforcing relationships between past discrimination, identity centrality, and appraisals of discrimination and threat in intergroup interactions highlight the need for interventions targeting this cycle that appears to contribute to heightened psychological distress among offspring of those who were directly victimized by collective race-based traumas.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".