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Record W4406600687

Agilité organisationnelle dans les réseaux de franchise

2024· article· fr· W4406600687 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFranchiseComputer scienceBusinessBusiness administration
DOInot available

Abstract

fetched live from OpenAlex

Cette recherche commanditée par la Fédération Française de la Franchise a pour ambition de caractériser les pratiques d'agilité organisationnelle développées par les réseaux de franchise pour faire face aux changements de leurs environnements. L'étude s'intéresse également aux adaptations du business model réalisées en réponse aux changements de l'environnement.Durée du contrat : 18 moisMembres de l'équipe :Magali MALHERBE, NIMEC, Université de Caen Normandie, coordinatriceAnne-Laure LE NADANT, LiRIS, Université Rennes 2, coordinatriceAlexandra Burlaud, DRM M-Lab, Université Paris Dauphine PSLFrédéric Perdreaux, COACTIS, Université de Saint-EtienneMamadou Sanoussy SOW, METIS, EM Normandie

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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