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Record W4389682989 · doi:10.1080/1750984x.2023.2291799

A conceptual model for performance crises in team sport: a narrative review

2023· review· en· W4389682989 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

VenueInternational Review of Sport and Exercise Psychology · 2023
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNarrativePsychologyProcess (computing)Social psychologyCrisis managementConceptual modelTeam compositionCognitive psychologyApplied psychologyPolitical scienceEpistemologyComputer scienceLaw

Abstract

fetched live from OpenAlex

In the present paper, we outline a conceptual model for performance crises in sports teams. We derive a definition of team performance crisis from conceptualizations from other research areas (economics, communications sciences, etc.) and stress theories. Combined with sport psychological literature, this knowledge is adapted to match the specifics of team sports. We define a team performance crisis as continuous underperformance across games, accompanied by team members’ threat states, and the inability of a team to cope, resulting in low team functioning. The empirically testable crisis model represents a team performance crisis as a downward spiral with the severity of the crisis determined by how far along the spiral the team has come. There are different stages: crisis predispositions (stage 0), a crisis trigger (stage 1), and the further crisis process (stage 2). While stage 1 depicts what characteristics of a situation have the potential to trigger threat states, stage 2 represents how this leads to the inability to break free. After proposing the model, we differentiate it from other constructs examining the phenomenon of performance deviations and why they are insufficient in explaining lasting underperformance in teams. We provide directions for future research and conclude with practical implications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.124
GPT teacher head0.390
Teacher spread0.266 · 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