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Record W4377006763 · doi:10.7202/1096030ar

Quels sont les facteurs liés à l’émergence du leadership transformationnel ? Résultats d’une étude empirique

2023· article· fr· W4377006763 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 · 2023
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsHEC MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyArt

Abstract

fetched live from OpenAlex

Très peu d’études ont porté sur les antécédents potentiels du leadership transformationnel, un type de leadership où le gestionnaire considère, stimule et inspire ses collaborateurs afin de catalyser leurs efforts dans la poursuite d’objectifs organisationnels. Cet article présente les résultats d’une étude qui a été réalisée auprès de 157 gestionnaires d’une organisation de sécurité publique et qui cherchait à explorer les antécédents personnels, contextuels et motivationnels du leadership transformationnel. Des corrélations bivariées et des analyses de régression nous ont permis d’identifier que des antécédents liés à la personnalité telle l’extraversion, des caractéristiques motivationnelles telles la vitalité au travail et des caractéristiques du contexte telles un climat d’innovation, ainsi que l’engagement du gestionnaire envers les collègues seraient liés à l’émergence du leadership transformationnel.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.008

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 head0.078
GPT teacher head0.295
Teacher spread0.217 · 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