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Record W2105445759 · doi:10.1177/1046496406294545

Member Diversity and Cohesion and Performance in Walking Groups

2006· article· en· W2105445759 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 · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsWestern University
Fundersnot available
KeywordsGroup cohesivenessCohesion (chemistry)PsychologyDiversity (politics)Social psychologyTask (project management)Ethnic groupCultural diversitySociologyEngineering

Abstract

fetched live from OpenAlex

The purpose of the study was to examine the relationship of group member diversity in task-related attributes (i.e., self-efficacy, level of previous physical activity, and personal goals) and task-unrelated attributes (i.e., ethnicity and gender) to task cohesiveness and task performance in walking groups ( N varied from 1,324 to 1,392 groups for the analyses). For the task-related attributes, diversity in level of previous physical activity was significantly related to both task cohesion and group performance—as diversity increased, cohesion and performance decreased. For the task-unrelated attributes, diversity in gender was related to task cohesion—as diversity increased, cohesion decreased. Gender diversity was unrelated to group performance. The results are discussed in terms of their implications for the dynamics of task-oriented groups.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.252
GPT teacher head0.349
Teacher spread0.097 · 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