Bibliographic record
Abstract
Despite the immeasurable amount of research completed on adult correctional facilities within North America, little is known about the overrepresentation of visible minority youth within the juvenile justice system. Through preliminary indications from this experimentation high delinquency due to cultural identity and socio-economic status has caused the federal offender population to become diverse. The face of the youth justice system within Canada is rapidly changing. Increasing forms of diversity serves as a principal pattern because the criminalization of minority youth occurs from cultural incompetence, unawareness, and insensitivity. This study recovers the institutional/systemic forms of treatment that minority youth face within the criminal justice system. It also further shows that there is no focus on the experiences of minority youth within juvenile correctional facilities due to a lack of information. The examination of criminalized practices, policies and methods of police organizations, correctional institutions and the court of law within Canada reveals institutional racism. Racial antagonism within the youth justice system leads to the criminalization of minority youth, which serves as a foundation for why culture shapes the identity of racialized youth. Key Words: Racialized Youth; Institutional/ Systemic Racism; Crime; Juvenile Justice System
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.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".