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Record W2065177362 · doi:10.1177/1534484302238435

Interrogating Emotions in Police Leadership

2002· article· en· W2065177362 on OpenAlexaff
Edward N. Drodge, Steven A. Murphy

Bibliographic record

VenueHuman Resource Development Review · 2002
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsRoyal Canadian Mounted Police
Fundersnot available
KeywordsPsychologyEmotional intelligenceIrrational numberSocial psychologyAction (physics)Context (archaeology)Leadership studiesPhenomenonEmbodied cognitionProcess (computing)EpistemologyLeadership style

Abstract

fetched live from OpenAlex

Theoretical discourse about leadership was traditionally conceived as a rational process of social action emanating from a leader whose traits were deemed largely responsible for the success or failure of the organization. The role of emotions in leadership, when they were discussed at all, tended to be viewed either negatively as irrational dimensions of mind interfering with the rational business of leading or as a discrete psychological category subsumed within emotional intelligence. In this article, the authors conceptualize emotions holistically as an embodied phenomenon that mediates the social process of leadership. They discuss police leadership as a specific organizational context that shapes and constrains emotional expression and suggest ways that emotional intelligence might be construed to aid police leadership 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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.337
GPT teacher head0.393
Teacher spread0.056 · 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

Citations44
Published2002
Admission routes1
Has abstractyes

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