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Record W2339809832 · doi:10.1177/1046496415599068

Exploring the Hidden-Profile Paradigm

2015· article· en· W2339809832 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 · 2015
Typearticle
Languageen
FieldPsychology
TopicTeam Dynamics and Performance
Canadian institutionsYork UniversityOntario Tech University
Fundersnot available
KeywordsConceptualizationPsychologyMaturity (psychological)Knowledge managementOutcome (game theory)Information processingData scienceCognitive scienceEpistemologyComputer scienceCognitive psychologyArtificial intelligenceDevelopmental psychology

Abstract

fetched live from OpenAlex

Much of our knowledge of team information processing has been influenced by the hidden-profile paradigm. In this review, we employ the input–mediator–outcome (IMO) team effectiveness framework to organize a systematic and comprehensive review of the knowledge accumulated in this area during the last three decades. The use of the IMO framework highlights important aspects of team dynamics that have received limited attention in past studies. Building on our analysis of the literature, we discuss significant theoretical questions that remain to be answered and propose methodological changes that would broaden and enhance our current understanding of team information processing. We suggest that the hidden-profile paradigm has reached maturity in terms of the permutations of Stasser and Titus’s original conceptualization and conclude by proposing that future research should move toward exploring novel settings that move closer toward embracing the dynamic and complex nature of team information processing.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.561
GPT teacher head0.435
Teacher spread0.126 · 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