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Record W2106326522 · doi:10.7202/1008803ar

La succession dans les entreprises familiales dirigées par les femmes : une problématique en quête de chercheurs

2012· article· fr· W2106326522 on OpenAlex
Louise Cadieux, Jean Lorrain, Pierre Hugron

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRevue internationale P M E Économie et gestion de la petite et moyenne entreprise · 2012
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersHarvard Business School
KeywordsHumanitiesPhilosophyEcological successionPolitical scienceBiology

Abstract

fetched live from OpenAlex

La succession est l’un des volets ayant le plus été étudié en contexte d’entreprises familiales. Pourtant, bien que l’on évalue à plus de 33 % la part des entreprises appartenant à des femmes, à notre connaissance, aucune étude ne s’est encore intéressée à la problématique dans leur cas. En conséquence, l’objectif de cet article est d’expliquer comment deux champs de recherche jusqu’ici séparés peuvent être complémentaires dans la manière d’aborder la problématique de la succession en général. Il s’agit donc d’un exercice de réflexion qui, somme toute, soulève un débat d’actualité sur l’état de nos connaissances sur les femmes entrepreneures en contexte d’entreprises familiales et qui se verront bientôt confrontées à une problématique de taille, celle de la succession.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.275
Teacher spread0.244 · 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