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Record W2006584089 · doi:10.1350/ijps.2005.7.3.175

Recourse to Executive Coaching: The Mediating Role of Human Resources

2005· article· en· W2006584089 on OpenAlexaff
Steven A. Murphy

Bibliographic record

VenueInternational Journal of Police Science & Management · 2005
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsCarleton University
Fundersnot available
KeywordsCoachingContext (archaeology)Bridge (graph theory)PsychologyHuman resourcesSign (mathematics)Human resource managementApplied psychologyKnowledge managementManagementPsychotherapistComputer scienceMedicine

Abstract

fetched live from OpenAlex

This paper views the proliferation of executive coaching for developmental purposes as a sign of organisational deficits in the areas of leadership, mentoring, and formal training. Key coaching concepts are described in terms of their links to counselling psychology and are compared with foundational development activities to argue that coaching may be a facile response to more serious underlying deficiencies. A police organisation provides an interesting context to illustrate how coaching is uncritically embraced to bridge shortcomings in areas where human resource structures and processes should play a more active mediating role.

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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.029
GPT teacher head0.423
Teacher spread0.393 · 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 designObservational
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

Citations11
Published2005
Admission routes1
Has abstractyes

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