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Record W1995769704 · doi:10.1080/17461390902780437

An experimental investigation of the determinants and consequences of self‐handicapping strategies across motivational climates

2009· article· en· W1995769704 on OpenAlexaff
Guillaume R. Coudevylle, Kathleen A. Martin Ginis, Jean-Pierre Famose, Christophe Gernigon

Bibliographic record

VenueEuropean Journal of Sport Science · 2009
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBasketballPsychologyTask (project management)Test (biology)Developmental psychologySocial psychologyVariance (accounting)Applied psychologyEcology

Abstract

fetched live from OpenAlex

Abstract The aim of the present study was to determine whether the use of claimed and behavioural self‐handicaps and their correlates differed across experimentally manipulated motivational climates. Fifty‐six competitive basketball players participated in the study. A crossover design was used, such that all participants completed the experimental task (i.e. a test of basketball skill) in both mastery and performance climates. Analyses of variance showed that claimed self‐handicaps were used more in the performance than the mastery condition but only for the men. In addition, greater behavioural self‐handicapping occurred in the performance than the mastery climate. Contrary to expectation, neither type of self‐handicap was related to performance on the basketball task in either climate. These findings reinforce the conceptual distinction between claimed and behavioural self‐handicaps and suggest that individual and environmental factors may differentially influence each type of handicap.

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)0.002
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 score0.089
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.333
Teacher spread0.299 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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