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Residents' Major Sport Event Social Value: A Systematic Review of Theory

2023· review· en· W4362015682 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvent Management · 2023
Typereview
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPopularityValue (mathematics)Transparency (behavior)Event studyEvent (particle physics)Empirical researchLogical analysisSocial psychologySociologyPsychologyMarketingApplied psychologyPublic relationsBusinessPolitical scienceEpistemologyGeographyComputer science

Abstract

fetched live from OpenAlex

Residents' major sport event (MSE) social value is a central topic for event scholars and managers. Despite its popularity, reviews have focused on empirical findings of impact-based studies; not considering resident investments of these studies nor the theoretical underpinnings of this social phenomenon. Therefore, the present systematic review of theory considers investment and impact-based studies to addresses this gap. We screened 934 records, of which only three met all our inclusion criteria. Findings revealed four theoretical concepts to understand residents' MSE social value: affinity with sport, income, event expectation, and transparency. The combination of these concepts offers a conceptual framework that guides scholars and practitioners to create social value more strategically for residents. Findings revealed the paucity of studies that examine residents' MSE social impact in relation to their MSE investment and calls for future investigations on residents' investments and impacts in relation to each other.

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.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.418
Teacher spread0.358 · 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