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Record W4394603166 · doi:10.7202/1110529ar

Dans quelles conditions la flexibilité cognitive contribue-t-elle plus à la performance adaptative ?

2024· article· en· W4394603166 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

VenueHumain et Organisation · 2024
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologyCognitionComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

<p>Adaptive performance (AP) represents the worker's ability to adapt their behaviours to changing job circumstances. An antecedent of AP would be the cognitive flexibility (CF) of employees. However, the strength of the relationship between these variables fluctuates empirically, suggesting the involvement of moderators such as knowledge work (KW). This study tested whether CF contributes more to AP in the presence of high versus low KW perceived demands. The results (n = 674) indicate that CF is related to AP and that, contrary to our hypothesis, KW does not moderate this relationship. However, an exploratory analysis of objective occupational job requirements reveals a more complex pattern of results: the relation between CF and AP depends on the interaction between the requirements of knowledge and the requirements of autonomy. Further, we found that CF contributes less to AP in jobs with higher social demands.</p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.033
GPT teacher head0.340
Teacher spread0.307 · 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