MétaCan
Menu
Back to cohort
Record W4393092267 · doi:10.1080/14413523.2024.2329827

Strategy practitioners and the procedural legitimacy of strategic planning in nonprofit community sport

2024· article· en· W4393092267 on OpenAlexaff
Kristen A. Morrison, Katie Misener

Bibliographic record

VenueSport Management Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of WaterlooUniversity of Windsor
Fundersnot available
KeywordsLegitimacyStrategic planningPublic relationsSport managementBusinessMarketingPoliticsPolitical science

Abstract

fetched live from OpenAlex

This study examines how leaders of community sport organizations (CSOs) engage in a strategic planning process through the intersection of institutional work and the strategy-as-practice (SAP) approach. The SAP approach focuses on the micro-level social activities, processes, and practices that inform how organizational leaders engage in strategic planning. A multiple-case study of four CSOs with contrasting approaches to the practice of strategy provides insight into the role of strategy practitioners and their choice of strategy activities. The study also examines how these activities contribute to the procedural legitimacy of strategic planning. The findings highlight four roles that strategy practitioners hold within their clubs (i.e. consultant, board member, staff member, facilitator) and three general types of activities that indicate varying levels of stakeholder involvement in planning. The findings provide evidence of the need for a granular approach to the study of strategic planning and a focus on how organizational leaders’ roles and choice of activities shape strategic planning and its legitimacy.

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)0.038
metaresearch head score (Gemma)0.059
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0030.020
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.072
GPT teacher head0.375
Teacher spread0.303 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueSport Management ReviewSame topicNonprofit Sector and VolunteeringFrench-language works237,207