ASMA : Un dispositif d’Analyse Séquentielle et Multidimensionnelle des Alliances
Bibliographic record
Abstract
L’analyse de la dynamique concurrentielle des alliances stratégiques nécessite le développement d’outils qualitatifs spécifiques. Nous proposons un dispositif d’analyse longitudinale qui intègre les trois dimensions traditionnelles de la stratégie – le marché, les structures de marché et le hors-marché – en plus d’une dimension propre aux alliances, les relations inter-marchés. Les modalités d’utilisation de l’ASMA – Analyse Séquentielle et Multidimensionnelle des Alliances – sont détaillées avant d’être appliquées dans le secteur ferroviaire européen. Par rapport aux méthodes qualitatives traditionnelles, l’ASMA permet de mettre évidence la dynamique des effets de portefeuilles d’alliances qui résultent de la multiplication des points de contacts entre partenaires et concurrents.
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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 | 0.019 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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.
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".