Predisposed police culture attitudes: South African Police Service versus Justice Institute of British Columbia newcomers.
Bibliographic record
Abstract
This article aims to report on a comparative examination of South African Police Service’ (SAPS) and Justice Institute of British Columbia (JIBC) Police Academy newcomers, for indicators evincing the presence of police culture themes of isolation, solidarity and cynicism. Using a survey format, the research employs a quasi-experimental pre-test (first phase of a larger longitudinal study) design. Although there is significant variance among the South African Police Service (SAPS) and Justice Institute of British Columbia (JIBC) Police Academy newcomers, overall there are indicators of solidarity, isolation and cynicism present among SAPS recruits upon arrival for basic training, however, less so for the JIBC Police Academy recruits, especially in relation to the cynicism theme. The findings suggest that newcomers from both the South African Police Service (SAPS) and Justice Institute of British Columbia (JIBC) Police Academy arrive for basic training with already moderate attitudes in support of police culture themes of solidarity, isolation and cynicism. It is contended that recruits’ views are largely in place upon hiring and that the police occupation attracts people with certain values and attitudes similar to characteristic police culture themes of solidarity, isolation and cynicism. This finding also has theoretical importance in that it provides empirical support for the predispositional school of thought which believes that police officer behaviour can primarily be explained by the personality characteristics (traits), values and attitudes that the individual had prior to being employed by a police organisation. This article reports on a comparison of police culture themes of solidarity, isolation and cynicism attitudes between the South African Police Service’ (SAPS) and Justice Institute of British Columbia (JIBC) Police Academy newcomers at the start of basic training.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".