Ressources ou barrières à l'exportation ? L'impact des réseaux locaux pour les PME nordiques
Bibliographic record
Abstract
Cette étude comparative de /’internationalisation des petites et moyennes entreprises est basée sur une enquête dans quatre régions types de trois pays scandinaves (Finlande, Norvège et Suède), soit 12 régions. L’objectif est de mesurer la signification du milieu local de l’entreprise et l’étendue des relations interfirmes sur le niveau d’internationalisation. Les entreprises sont groupées en trois catégories : exportatrices engagées, exportatrices sporadiques et non exportatrices. En termes de relations verticales et horizontales de coopération, les exportateurs engagés ne se distinguent guère des autres catégories. Les différences entre les régions types et entre les pays sont peu importantes quand il s’agit de l'utilisation des ressources internes dans les entreprises. Les différences dans le recours aux ressources externes sont toutefois plus importantes entre les pays qu’entre les régions. Les meilleurs indicateurs de succès des entreprises comme exportatrices sont le recours aux technologies de production et les types de produits offerts.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".