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Record W1995298219 · doi:10.1108/13639510610711600

Examining the career plateau among police officers

2006· article· en· W1995298219 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolicing An International Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsYork University
Fundersnot available
KeywordsCynicismPlateau (mathematics)OriginalityPsychologyValue (mathematics)Work (physics)Service (business)Social psychologyPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

Purpose This study aims to examine the career plateau by comparing police officers having 15 or more years of service who had been promoted with police officers having 15 or more years of service who had not. Design/methodology/approach Data were collected from 389 police officers in Norway using anonymously completed questionnaires, a 62 percent response rate. Findings Plateaued officers were younger, had less police tenure and were more educated than were non‐plateaued officers. Plateaued officers also reported less favorable work outcomes and greater cynicism. The two groups of officers indicated generally similar levels of psychological health suggesting that potential negative consequences of the career plateau were limited to the workplace. Research limitations/implications All data collected using self‐reports raising the possibility of common method bias. Study needs to be replicated in police forces in other countries. Practical implications Suggestions for reducing the negative effects of the career plateau are offered. Originality/value The study extends research on the career plateau to police organizations

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.086
GPT teacher head0.381
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it