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Record W2762901271 · doi:10.1108/sbm-10-2016-0068

Multi-level analysis of institutional formation and change

2017· article· en· W2762901271 on OpenAlexaff
Gérard Simon, David Legg, Thierry Zintz

Bibliographic record

VenueSport Business and Management An International Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsMount Royal University
Fundersnot available
KeywordsOriginalityOrganizational fieldInstitutional logicField (mathematics)Organizational changeValue (mathematics)Institutional changeOrganizational theoryPolitical scienceOrganizational structureSociologyPublic relationsSocial sciencePublic administrationManagementComputer scienceQualitative researchLawEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to explore the multi-level mechanisms of institutional formation and change and, in particular, how this occurs through the interplay of multi-level mechanisms? This is answered with a processual analysis of the International Paralympic Committee which is the international governing body of sports for people with an impairment. Design/methodology/approach This study uses a case-study approach based upon archival records, collected in relevant national and international sport organizations. More than 2,700 pages of archives were gathered, some of them being accessible to researchers for the first time. Embargo was also successfully lifted on recent and sensitive documents. Findings This study highlights multi-level mechanisms involved in institutional change processes triggered by a shifting institutional logic at the organizational field level. This paper also shows how field logic shifted at the moment of alignment between the societal, field and organizational levels. Moreover, it underlines how societal discourses influenced processes of institutional change by shaping the range of organizational actions available at the organizational and field levels. Originality/value This paper proposes a rare account of institutional change processes in which interplay between the societal, field, and organizational levels is analyzed. Furthermore, this paper provides a longitudinal investigation of an under-researched empirical setting, the Paralympic movement. Finally, this study integrates insights from the disability studies’ research field, which significantly deepens this analysis.

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)0.000
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 score0.466
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.151
GPT teacher head0.384
Teacher spread0.233 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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