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Record W4387409822 · doi:10.1111/caim.12575

Lovable fools and creativity in teams

2023· article· en· W4387409822 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

VenueCreativity and Innovation Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsSimon Fraser University
FundersNational Outstanding Youth Science Fund Project of National Natural Science Foundation of ChinaNational Natural Science Foundation of China
KeywordsCreativityTask (project management)PsychologySocial psychologyPsychological safetyApplied psychologyManagement

Abstract

fetched live from OpenAlex

Although employees with low task performance are typically perceived as outcasts in organizations, one group of such employees has the potential to generate positive outcomes. We seek to understand how lovable fools (i.e., individuals with low task performance and high contextual performance) influence creativity within teams. Specifically, we study the countervailing effects of increased psychological safety and decreased useful feedback as mediators of the relationship between the perceived existence of lovable fools in a team and individual and team creativity. We conduct two studies using individual and team‐level analyses to examine the hypothesized direct and indirect effects. Our findings support a positive relationship between perceived existence of lovable fools and individual/team creativity through increased psychological safety, even after accounting for the effects of reduced useful feedback provided by lovable fools. The theoretical and practical implications of these findings 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.371
Threshold uncertainty score0.541

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.268
Teacher spread0.240 · 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