Role perception and professional identity development of municipal police recruits in British Columbia
Bibliographic record
Abstract
Purpose The study aimed to address how recruits perceive their roles and develop professional identities during in-classroom and in-field training. Design/methodology/approach This study explored the professional identity formation process by analysing asynchronous surveys with recruits from 13 municipal police departments in British Columbia, Canada. The participants were surveyed twice: after classroom-based training following Block I at the British Columbia Police Academy (BCPA) and after their departmental field training following Block II. Findings The analysis revealed that police recruits lacking public safety experience transformed their occupation and lifestyle. The training at the police academy helped develop recruits' muscle memory as they applied their knowledge to the situation through hands-on practice. Moreover, teamwork at the police academy and during field training allowed recruits to form their police identity. The study was conducted between 2020 and 2021 during the COVID-19 pandemic, thus revealing how the recruits learnt effectively whilst facing continuous challenges and adjusting. Research limitations/implications This study relied solely on the respondents' language in text-based answers; therefore, it was not possible to ask follow-up questions or seek clarification. Consequently, several inputs were excluded from the analysis. This would not have been the case if a quantitative method, where answers can be selected accurately, had been used. Originality/value This study demonstrates that police recruits acquire diverse competencies and skill sets through rigorous formal requirements, nuanced informal aspects and comprehensive training at the BCPA and during field training, all of which pivotal in shaping their professional identities.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".