Bibliographic record
Abstract
La franchise est une relation économique entre deux acteurs indépendants, le franchiseur et le franchisé. À ce titre, elle se prête bien à l’application de modèles économiques (théorie de l’agence, théorie des contrats incomplets, coûts de transaction, etc.) ou gestionnaires (théorie des parties prenantes, empowerment , gestion de la créativité, etc.). Mais Dant (2008 ; Dant et al. , 2011) a fait remarquer que l’on manquait d’une véritable phénoménologie de cette relation complexe. Cet article tente de produire cette phénoménologie sous la forme d’un étagement ordonné de descriptions : une description minimale (une relation économique entre deux agents qui chacun y trouvent son intérêt), puis des éléments de complexification (une relation économique déséquilibrée, autre qu’économique, multi-niveau, en réseau, agonistique). Enfin sont identifiés les scénarios dynamiques de la relation de franchise.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".