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Record W2031384083 · doi:10.1108/01437731311326657

Performance management coaching: servant leadership and gender implications

2013· article· en· W2031384083 on OpenAlexaff
Angus Duff

Bibliographic record

VenueLeadership & Organization Development Journal · 2013
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsYork University
Fundersnot available
KeywordsServant leadershipCoachingLeadership styleShared leadershipPsychologyOriginalitySituational leadership theoryNeuroleadershipServantManagementApplied psychologyPublic relationsKnowledge managementSocial psychologyComputer sciencePolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to consider theoretically the relationships between performance management, a servant leadership style and leader gender, drawing from Hackman and Wageman's theory of team coaching to suggest a servant leadership style being optimally suited to support the different leadership roles enacted at different stages of the performance management cycle. While recent research suggests that female managers may be more likely to enact a servant leadership style, team and process‐level considerations have yet to be addressed. This paper aims to theoretically address this topic. Design/methodology/approach This paper is conceptual based on theory with literature review. Findings Because the theory of team coaching suggests differential leader task delivery at various points in the coaching process, servant leadership's individually‐centred approach is suited to team coaching, particularly in the execution of performance management coaching. Practical implications Since research suggests that women are more likely to employ a servant leadership style, this paper explores whether gender plays a role in team coaching. Originality/value This study makes a novel contribution by considering the influence of a servant leadership style at the leadership process and team levels.

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)0.003
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.192
GPT teacher head0.330
Teacher spread0.137 · 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

Citations51
Published2013
Admission routes1
Has abstractyes

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