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Record W2096808964 · doi:10.1177/1046496403260531

Collective Efficacy, Group Goals, and Group Performance of a Muscular Endurance Task

2004· article· en· W2096808964 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

VenueSmall Group Research · 2004
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPsychologyCollective efficacyInterdependenceSocial psychologyMultilevel modelTask (project management)Self-efficacyGroup (periodic table)Statistics

Abstract

fetched live from OpenAlex

The purpose of the study was to examine the relationships among collective efficacy, group goals, and group performance using an interdependent muscular endurance task in a controlled laboratory setting. Thirty-seven male (n = 14) and female (n = 23) triads performed two trials of maximum muscular endurance, completing measures of collective efficacy and group goals between trials. Results showed a high degree of correlation ( r range = .73 -.92) between collective efficacy, group goals, and group performance. Hierarchical linear regression analyses revealed that collective efficacy predicted significant variance in Trial 2 performance after controlling for performance on Trial 1. Group goals mediated the relationship between collective efficacy and group performance on Trial 2. Implications for theory and group performance in naturalistic settings such as sport teams are discussed.

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)0.002
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 score0.403
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.342
Teacher spread0.281 · 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