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Record W1981985902 · doi:10.1080/1612197x.2010.9671952

Group goal setting and group performance in a physical activity context

2010· article· en· W1981985902 on OpenAlexaff
Shauna M. Burke, Kim M. Shapcott, Albert V. Carron, Michael H. Bradshaw, Paul A. Estabrooks

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyModerationGroup cohesivenessPhysical activityContext (archaeology)Self-efficacyGroup (periodic table)Developmental psychologySocial psychologyPhysical therapyMedicine

Abstract

fetched live from OpenAlex

Abstract The primary purpose was to examine the relationship between group goal setting and group performance in an exercise setting. The secondary purpose was to determine whether cohesion, self‐efficacy, and physical activity level influenced the magnitude of the group‐goal/group‐performance relationship. The sample consisted of 6,356 participants (N = 1,325 groups) who were registered for an 8‐week walking program. Results revealed a positive and significant relationship between group goal setting and group performance. Analyses also showed that cohesion was not a moderator while physical activity level and self‐efficacy were; the strength of the relationship between group goal setting and group performance was enhanced as the group average for self‐efficacy and physical activity increased. Further analyses revealed that physical activity level and self‐efficacy interacted in a conjunctive manner to influence the group‐goal/group‐performance relationship; groups high in physical activity and self‐efficacy showed a stronger relationship than groups with other combinations of the two

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 score0.494
Threshold uncertainty score0.429

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.388
Teacher spread0.363 · 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

Citations25
Published2010
Admission routes1
Has abstractyes

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