MétaCan
Menu
Back to cohort
Record W4403616266 · doi:10.1177/10464964241288555

Cognitive Diversity and Initiative-Taking in Crisis: A Multisource Multilevel Dual-Path Model

2024· article· en· W4403616266 on OpenAlex
Juliet E. Ikhide, Ojo Adedapo, Muhammad Farrukh Moin

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 · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsMount Royal University
Fundersnot available
KeywordsDiversity (politics)PsychologyDual (grammatical number)CognitionPath analysis (statistics)Multilevel modelPath (computing)Social psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Disruptive situations experienced in crises require significant initiative-taking among employees, particularly those in the service sector. Relying on the social information processing theory, this study expounds on how and when team cognitive diversity influences employee initiative-taking through work meaningfulness and perceived subgroup splits during a crisis. Data was collected from 232 hotel employees working within 58 work teams from two sources and in two waves. Results from a multilevel, dual-path parallel mediation data analysis did not support the hypothesized direct relationship between team cognitive diversity and personal initiative-taking or the indirect path through perceived subgroup split. This study’s analysis supported only the indirect path through work meaningfulness. Implications of the findings as well as avenues for further research and theory expansion 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.570
GPT teacher head0.444
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