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Record W2313122487 · doi:10.7202/1045356ar

Le Mentorat envers les Consultants Salariés du Secteur du Conseil en Management : Levier de Fidélisation ou Source d’Opportunités Externes ?

2018· article· fr· W2313122487 on OpenAlexaffvenue
Caroline Tillou, Ahmed Khalil Ben Ayed, Assâad El Akremi, Christian Vandenberghe

Bibliographic record

VenueManagement international · 2018
Typearticle
Languagefr
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Cette étude examine l’impact des pratiques de mentorat auprès des consultants salariés du secteur du conseil en management en France. Les analyses révèlent que l’estime de soi organisationnelle médiatise partiellement une relation positive entre le mentorat et l’engagement affectif envers l’organisation. L’engagement affectif médiatise une relation négative entre le mentorat et l’intention de départ des consultants. Toutefois, ni le mentorat ni l’estime de soi organisationnelle ne sont liés à l’engagement envers la carrière, lequel n’est pas lié à l’intention de quitter l’organisation. Nous discutons la portée de ces résultats pour la compréhension de ces pratiques auprès des travailleurs du savoir.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.305
Teacher spread0.271 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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