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Record W179485089 · doi:10.1123/jsm.21.3.338

Determinants of Interorganizational Relationships: The Case of a Canadian Nonprofit Sport Organization

2007· article· en· W179485089 on OpenAlexaboutno aff
Kathy Babiak

Bibliographic record

VenueJournal of Sport Management · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyReciprocity (cultural anthropology)General partnershipPublic relationsInterpersonal communicationContext (archaeology)BusinessConceptual frameworkQualitative researchSociologySocial psychologyPsychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Interorganizational relationships have become increasingly important for sport organizations. The purpose of this study was to explore the determinants and conditions of partnership formation in a group of collaborating nonprofit, public, and private organizations. A conceptual framework that includes the determinants of legitimacy, stability, necessity, asymmetry, reciprocity, and efficiency were used. Conditions including interdependence and presence of an interpersonal network were also explored. This research employed qualitative methods to examine partners’ reasons for developing interorganizational relationships in a sport context. For the collaborating organizations, the determinants of legitimacy, stability, reciprocity, and efficiency prevailed as important motives for relationship formation. These findings help to refine and apply contemporary theory to sport management and can be used to help manage interorganizational relationships.

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)0.004
metaresearch head score (Gemma)0.012
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 score0.090
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0250.006
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
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 head0.025
GPT teacher head0.289
Teacher spread0.264 · 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

Citations141
Published2007
Admission routes1
Has abstractyes

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