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Record W2169708689 · doi:10.1177/1046496406293125

Teamwork Behaviors

2006· article· en· W2169708689 on OpenAlexaff
Vincent Rousseau, Caroline Aubé, André Savoie

Bibliographic record

VenueSmall Group Research · 2006
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsHEC MontréalUniversité de Montréal
Fundersnot available
KeywordsTeamworkTask (project management)PsychologyPerspective (graphical)Conceptual frameworkWork (physics)Knowledge managementSocial psychologyComputer scienceEpistemologyEngineeringManagementArtificial intelligenceSystems engineering

Abstract

fetched live from OpenAlex

The existing body of literature on teamwork behaviors is substantial and offers many different conceptualizations. However, there is a lack of consensus concerning the conceptual structure of teamwork behaviors. Many researchers pursue their own work without any attempt to build on and integrate the work of others. This article reviews the frameworks of teamwork behaviors in the literature on work teams and provides a way of integrating these frameworks. The behavioral dimensions included in this integrative framework are conceptually distinguished and arranged in a hierarchical conceptual structure based on theoretical approaches. Moreover, they are framed from the perspective of the timing of teamwork behaviors to clarify when these behaviors are most likely to have their intended effects. The proposed framework is then connected to the task conditions under which teamwork behaviors are most likely to facilitate collective task accomplishment. Finally, future directions for research regarding teamwork behaviors 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.

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)0.015
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.081
GPT teacher head0.410
Teacher spread0.329 · 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

Citations382
Published2006
Admission routes1
Has abstractyes

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