Racial Discrimination Experienced by Aboriginal University Students in Canada
Bibliographic record
Abstract
OBJECTIVES: Racial discrimination is an established life course social determinant of health associated with adverse psychological outcomes among minority populations. However, little is known about the extent to which Aboriginal people in Canada may experience racial discrimination and consequent adverse psychological effects. This study sought to measure the extent to which Aboriginal university students living in an urban area of Canada experienced racism, to triangulate this evidence with US data and qualitative findings, and to examine the impact of these experiences on mental health. METHODS: Data for this mixed method study were collected via in-person surveys with a volunteer sample of Aboriginal university students (n = 60) living in a mid-sized city in central Canada in 2008-2009. RESULTS: Results indicate Aboriginal university students experienced more frequent racism across a greater number of life situations than African- and Latino-American adults in the United States. Student reactions to these experiences were symptomatic of what has been termed racial battle fatigue in the United States. Students who considered themselves traditional or cultural Aboriginal persons were significantly more likely to experience discrimination. CONCLUSIONS: Results underline the need for policies aimed at reducing racism directed at Aboriginal people in urban areas and the growth of services to help Aboriginal people cope with these experiences. Results highlight the need for further research to determine the potential pathogenic consequences of racial discrimination for Aboriginal people in Canada.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".