Bibliographic record
Abstract
Purpose The primary purpose of this paper is to examine attitudes toward the police in a sample of Canadian adolescents. Design/methodology/approach Using survey data collected from 262 students attending 14 different high schools in a western Canadian city, the paper analyses adolescents' attitudes toward the local police. Criminal victimisation experience, police harassment or mistreatment experience, engagement in delinquent behaviour, and attitudes toward school among respondents were also explored. Findings The results demonstrated that respondents were only marginally positive in their evaluations of the police. Multiple ordinary least‐squares regression analysis demonstrated that respondents who were older and those who held more positive school attitudes, experienced no police mistreatment or harassment, reported no criminal victimisation, and exhibited lower propensity to engage in unlawful activities were found to rate the overall police performance significantly more favourably. Research limitations/implications As this study reports data based on a non‐random sample of high school students in one Canadian city, caution must be exercised in interpreting the results. Continued research attention should be devoted to high school student populations in other geographical locations. Practical implications Survey findings underscore the importance of the implementation of programs to foster a positive relationship between the police and young people, the promotion of student engagement with school, and the adoption of intervention strategies to reduce delinquent behaviour among at‐risk adolescents. Originality/value As only very few studies have explored police‐youth relations in Canada, this analysis offers insights into adolescents' perceptions of the police and factors contributing to their attitudes.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".