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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 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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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