Exploring\tIndigenous Youth Incarceration in Canada
Bibliographic record
Abstract
This project is focused on the issue of Indigenous youth incarceration in Canada. The primary goal of this study is to explore whether this prevalent problem is a product of social environment, such as poverty and reserve conditions, or if it is rooted in institutionalized racism in Canada. This study has centrally been a literature review of relevant statistical information and academic publications on this topic, as well as qualitative coding of selected sources. I have also utilized the case study of the Flying Dust First Nation in Saskatchewan in order to explore a microanalysis of an Indigenous community that contradicts prevailing negative social patterns in Canada. My central argument is that high rates of Indigenous youth incarceration in Canada are a product of the combined effect of complex social factors, as well as systemic racism in governmental structures. Through my qualitative research, I have found that some of the academic literature has further propagated stereotypical notions of Indigenous Canadians, as well as produced a distinct binary between Indigenous groups and the non-Indigenous, unmarked category of identity.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".