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Record W2030065216 · doi:10.1177/104649640103200403

Does Diversity Affect Group Efficacy?

2001· article· en· W2030065216 on OpenAlexaff
Leisa D. Sargent, Christina Sue‐Chan

Bibliographic record

VenueSmall Group Research · 2001
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologyGroup cohesivenessCohesion (chemistry)Affect (linguistics)Social psychologyDiversity (politics)Group structureSelf-efficacySociologyCommunicationPsychotherapist

Abstract

fetched live from OpenAlex

This study examined the relation between racioethnic diversity and group efficacy (assessed as group outcome efficacy and group potency). Social cohesion was hypothesized to moderate this relationship. The authors also predicted that the interactive effect of racioethnic diversity and social cohesion on group efficacy would be mediated by task interdependence. The sample consisted of 42 student project groups. Data were gathered at the completion of the groups’ projects. The results indicate support for the hypotheses that racioethnic diversity is positively related to group efficacy and that the effect of racioethnic diversity on group outcome efficacy is enhanced by social cohesion. There was also some support for the mediating role of task interdependence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.114
GPT teacher head0.397
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), 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

Citations112
Published2001
Admission routes1
Has abstractyes

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