Interorganizational Relations, Proximity, and Innovation: The Case of the Aeronautics Sector in Montreal
Bibliographic record
Abstract
[en] Local interorganizational relations are crucial in aeronautics. On the basis of an empirical research carried out in Montreal, this paper addresses the role of proximity within the construction of these interorganizational relations and analyses how these relations are structured, which actors are crucial for their construction, and to what extent they foster innovation. The paper shows that aeronautics in Montreal is characterized by a dense network structured by prime contractors and intermediate organizations and a strong sense of belonging. Diverse forms of proximity shape the aeronautics sector in Montreal, with the specific characteristics of the sector (strong vertical integration and major spatial concentration of the productive chains) and of the place, in this case Montreal (priority to partnership, presence of intermediate organizations), are converging and contributing [fr] \nLes relations locales entre les organisations sont cruciales dans l'aéronautique. Sur la base d'une recherche empirique menée à Montréal, cet article aborde le rôle de la proximité dans la construction de ces relations et analyse la manière dont ces relations sont structurées, quels sont les acteurs clés pour leur construction, et dans quelle mesure ils favorisent l'innovation. L'article montre que l'aéronautique à Montréal se caractérise par un réseau dense structuré par les donneurs d'ordre et les organismes intermédiaires et d'un fort sentiment d'appartenance. Diverses formes de proximité structurent le secteur de l'aéronautique à Montréal, combinées aux caractéristiques spécifiques du secteur (intégration verticale forte et la concentration spatiale importante des chaînes productives) et à celles du territoire de Montréal (importance du partenariat, la présence d'organismes intermédiaires), contribuant à la construction d'un système d'innovation à l'échelle métropolitaine.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".