Bibliographic record
Abstract
Les zones transfrontalières ont leur propre capital territorial. Toutefois, il ne peut pas être la simple addition des composantes des zones frontières concernées. Bien souvent, il est qualifié, positivement ou négativement, par des spécificités découlant du jeu complexe des interactions, synergies, blocages et complémentarités, entre contraintes institutionnelles et processus d’intégration et de globalisation. L’objectif de cet essai est alors – dans un contexte de référence théorique encore ouvert – de dresser une typologie des différentes problématiques de développement. Cette démarche est proposée sur la toile de fond du capital territorial. Ainsi le croisement entre les trois articulations du capital territorial (productivité, clusterisation, emplacement) et les trois conceptions évolutives de la frontière (ligne de séparation, zone de contact, ouverte à l’horizon) donne lieu à un cadre théorique d’analyse et à un tableau typologique des effets frontières intéressant et stimulant pour une nouvelle génération d’analyses du terrain et des stratégies de politiques transfrontalières. Classifications JEL : H73, O18, R12, R58
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.917 | 0.879 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".