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Record W2166518791 · doi:10.1108/17542411011026276

A reflection of the contributions of “Women in sport management: advancing the representation through HRM structures”

2010· article· en· W2166518791 on OpenAlexaff
Mark E. Moore, Alison M. Konrad

Bibliographic record

VenueGender in Management An International Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsWestern University
Fundersnot available
KeywordsGender equityOriginalityEquity (law)Human resource managementPublic relationsPsychologyValue (mathematics)SociologyPolitical scienceBusinessSocial psychologyGender studiesLawComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to offer a reflection of contributions made by the paper “Women in sport management: advancing the representation through HRM structures.” Design/methodology/approach The approach the paper took in preparing this reflection was to offer the recollections as why the study was initiated and the significance it has had since being in print. Findings In this paper, four key outcomes of the original study are identified and discussed. They are that women rated their leaders as significantly less committed to gender equity than men did; that experiencing a gender equity lawsuit increased top management's philosophical support of gender equity, that top management support for gender equity is significantly positively associated with both substantive human resource management (HRM) practices and the percentage of female managers in the organization; and that the presence of substantive HRM practices for gender equity is unrelated to the employment of female sport managers. Originality/value The paper offers insight on the significance of the original paper and communicates the importance of further practical and scholarly efforts to increase gender equity within management.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.456
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.031
GPT teacher head0.376
Teacher spread0.345 · 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 teacher head, 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

Citations7
Published2010
Admission routes1
Has abstractyes

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