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Record W2974745158 · doi:10.1123/cssm.2018-0034

Just How Competitive Are We? Managing Organizational Culture in a Canadian University Athletics Department

2019· article· en· W2974745158 on OpenAlexaffabout
Jules Woolf, Jess C. Dixon, B. Christine Green, Patrick Hill

Bibliographic record

VenueCase Studies in Sport Management · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAuditOrganizational cultureRecreationManagementPublic relationsOrganizational changeAdministration (probate law)SociologyPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Christiaan Jacobs is the new Dean of Student Affairs at the University of South Central Ontario, which puts him in charge of the Department of Athletics and Recreation. Jacobs has learned that the hypercompetitive environment established by the athletic director, Nathan Scott, has been causing friction in many areas of the department, potentially resulting in the resignation of several long-term employees. As part of an organizational audit, he interviewed many employees and had them complete the Competing Values Framework questionnaire, the results of which were troubling. How should Jacobs lead this department forward and can he count on Scott to be supportive of the direction that he wants it to go? The purpose of this case is to introduce students to the importance of organizational culture and challenges to organizational change. Students will learn about the Competing Values Framework, change management, and have the opportunity to analyze qualitative and quantitative data in formulating responses to the case-guiding questions. This decision-focused case is suitable for use with upper division undergraduate and graduate sport management students in courses such as Organizational Behavior, Strategic Management, Collegiate Athletics Administration, and Critical Issues in Sport.

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)0.007
metaresearch head score (Gemma)0.008
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 score0.169
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0940.024
Scholarly communication0.0140.003
Open science0.0040.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.281
Teacher spread0.252 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

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