MétaCan
Menu
Back to cohort
Record W3014261271 · doi:10.1108/sbm-11-2019-0106

Understanding demonstration effects among youth sport spectators: cognitive and affective explanations

2020· article· en· W3014261271 on OpenAlexaff
Luke R. Potwarka, Ryan Snelgrove, Laura Wood, Georgia Teare, Daniel Wigfield

Bibliographic record

VenueSport Business and Management An International Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of OttawaUniversity of Waterloo
Fundersnot available
KeywordsPsychologyEvent (particle physics)CognitionCognitive appraisalOriginalitySocial psychologyApplied psychologyCreativity

Abstract

fetched live from OpenAlex

Purpose The purpose of this study was to examine whether watching a live track cycling event could increase youths' intention to participate in the sport, and to identify cognitive and affective mechanisms associated with post-event intentions. Design/methodology/approach A sample of youth spectators ( n = 362) who experienced the 2016 Milton International Track Cycling Challenge completed pre- and post-event questionnaires to assess intention to participate and cognitive and affective components of their spectator experience. Findings Respondents' intentions to participate post-event were significantly higher than pre-event. Results also indicated that state inspiration mediated relationships between three cognitive dimensions of sport spectator experiences (i.e. fantasy, flow, evaluation) and intention to participate. Practical implications Sport managers should design youth day events to engage with youth prior to the event to increase their knowledge of the sport. This prior engagement may help youth to evaluate performances effectively. Moreover, event experience should be designed to incorporate vicarious and immersive experiences tailored to youth spectators. Originality/value The present study is one of the first to assess intentions to participate among youth spectators at multiple time points (i.e. before and after an event) and identifies specific mechanism within the spectator experience that may lead to a demonstration effect.

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 score0.260
Threshold uncertainty score0.512

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.306
Teacher spread0.239 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSport Business and Management An International JournalSame topicSport and Mega-Event ImpactsFrench-language works237,207