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Record W2194062750 · doi:10.1123/jsm.24.3.245

Intragroup Conflict in Nonprofit Sport Boards

2010· article· en· W2194062750 on OpenAlexaff
Shannon Hamm‐Kerwin, Alison Doherty

Bibliographic record

VenueJournal of Sport Management · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyConflict managementSocial psychologyContext (archaeology)Task (project management)Decision qualityQuality (philosophy)Group conflictRole conflictProcess (computing)Public relationsPolitical scienceManagementTeam effectiveness

Abstract

fetched live from OpenAlex

Conflict can significantly influence the performance of a group and the attitudes of their members. As with any organizational group, conflict is expected within the boards of nonprofit organizations. The purpose of this paper was to examine the nature of intragroup conflict in nonprofit sport boards, and its impact on perceived decision quality, board member satisfaction, and commitment to the board. Seventy-four provincial sport organization board members were surveyed. The results indicated that task, relationship, and process conflict were negatively related to decision quality, satisfaction, and commitment, and relationship conflict was the most influential variable on all three outcomes. The mediating effect of relationship conflict on the conflict to outcomes associations was also uncovered. The findings have implications for the management of relationship conflict in this context, as well as the management of task and process conflict which may trigger relationship conflict. Several areas for future research are presented.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.451

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 science0.0000.000
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 head0.013
GPT teacher head0.297
Teacher spread0.285 · 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

Citations41
Published2010
Admission routes1
Has abstractyes

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