Exploring the Relationships of Perceived Discrimination, Anger, and Aggression among North American Indigenous Adolescents
Bibliographic record
Abstract
A growing body of research has documented associations between discrimination, anger and delinquency, but the exact nature of these associations remains unclear. Specifically, do aggressive behaviors emerge over time as a consequence of perceived discrimination and anger? Or do adolescents who engage in aggressive behavior perceive that they are being discriminated against and become angry? We use autoregressive cross-lagged path analysis on a sample of 692 Indigenous adolescents (mean age=12 years) from the Northern Midwest and Canada to answer these research questions. Results showed that the direction of effects went only one way; both perceived discrimination and anger were significantly associated with subsequent aggression. Moreover, early discrimination and anger each had indirect effects on aggressive behavior three years later, and anger partially mediated the association between discrimination and aggression. Perceived discrimination is but one of many strains related to their unequal social position that these Indigenous youth experience, and have important implications for the proliferation of disparities in later life.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.002 | 0.001 |
| 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 | 0.000 |
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 teacher head, 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".