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Record W2617532533 · doi:10.1177/0276236617712005

Functions and Situations Associated With Cognitive General Imagery Use

2017· article· en· W2617532533 on OpenAlexaff
Nicole Westlund Stewart, Despina Kouali, Craig Hall

Bibliographic record

VenueImagination Cognition and Personality · 2017
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyMental imageCurlingCognitionArousalCognitive psychologyRecreationSocial psychology

Abstract

fetched live from OpenAlex

The purpose of the present study was to examine the imagery functions and situations associated with the use of cognitive general (CG) imagery in curling based on the four Ws of imagery use and the revised applied model of deliberate imagery use. Fourteen competitive and recreational curlers ( M age = 57.57, SD = 19.94) who play the skip position (i.e., direct the strategy of the game) were recruited from local curling clubs. The curlers reported using CG imagery to serve both cognitive (i.e., CG) and motivational (i.e., motivational general arousal and motivational general mastery) functions during competition, practice, and while spectating. The results support the revised applied model of deliberate imagery use in that CG imagery use differed according to the personal meaning associated with the CG images employed by various curlers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.363
Teacher spread0.298 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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