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Record W2048239117 · doi:10.1093/police/par042

Respectful Leadership: The Emergence of Upward Nobility as a Way of Life in Policing

2011· article· en· W2048239117 on OpenAlexaffabout
Robert M. Hanson, P. F. McKenna

Bibliographic record

VenuePolicing A Journal of Policy and Practice · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsDalhousie UniversityCalgary Laboratory Services
Fundersnot available
KeywordsBlueprintRealmTheme (computing)Relevance (law)Conceptual frameworkSociologyLeadership developmentLeadership styleEngineering ethicsPublic relationsService (business)Political scienceManagementEngineeringComputer scienceSocial scienceBusiness

Abstract

fetched live from OpenAlex

This article describes a project to design the blueprint for career and leadership development within a large Canadian police service. The results were based upon a review of existing theory in combination with internal organizational data. Analysis pinpointed the importance and relevance of respectful leadership and provided the basis for a theme connecting all curricular materials developed to articulate the blueprint. While specific aspects are tailored to precise gaps and requirements of a single, urban police department, the conceptual framework formulated around respectful leadership, and the processes applied in developing the roadmap, are offered as foundational across a comprehensive range of police services. The conceptual framework illuminating respectful leadership has clear policy implications especially, but not exclusively, in the realm of human resources development.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.035
Scholarly communication0.0110.005
Open science0.0010.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.284
GPT teacher head0.446
Teacher spread0.162 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2011
Admission routes2
Has abstractyes

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