Longitudinal Mechanisms Linking Perceived Racial Discrimination to Aggressive Delinquency among North American Indigenous Youth
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
OBJECTIVES: Drawing from an integrated general strain theory framework, the purpose of the study is to examine the longitudinal mediating and moderating mechanisms linking perceived racial discrimination with aggressive delinquency among North American Indigenous (i.e., American Indian and Canadian First Nations) youth. METHODS: Data come from an eight-year longitudinal study of Indigenous youth residing on reservations/reserves in the upper-Midwest and Canada (N = 659). Scales were created for discrimination, depressive symptoms, school bonds, and delinquent peer associations at years 2 and 3, and a count measure of aggression was created at years 2, 3, and 5. Cross-lagged path analysis models were estimated to examine possible mediating effects of depressive symptoms, school bonds, and delinquent peer associations. Separate regression models were examined to test for possible moderating effects of the aforementioned variables. RESULTS: The results of a longitudinal path analysis model showed that discrimination indirectly increased aggression through decreased school bonds and increased delinquent peer associations. Depressive symptoms was the only significant moderator, and contrary to expectations, the effect of discrimination on aggression declined in magnitude as depressive symptoms increased. CONCLUSIONS: Discrimination is a key criminogenic stressor among Indigenous youth and is linked with multiple adverse outcomes through the adolescent years.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it