Analyse comparative de la visibilité des articles en économie industrielle : 1991-1998
Bibliographic record
Abstract
Cette étude empirique évalue l’importance relative des articles en économie industrielle publiés dans les principales revues scientifiques généralistes ou spécialisées, autant anglophones que francophones, en utilisant le nouveau système de classification du J.E.L. de 1991. Les contributions sont examinées à l’intérieur de deux périodes récentes, 1991-1994 et 1995-1998, et regroupées suivant le type d’article : analyse théorique (L100- L390); politique industrielle (L400-L590); études sectorielles (L600-L990). Un indice de progression vers la spécialisation (IPS) permettrait d’observer l’évolution de la politique éditoriale en rapport avec le thème traité, alors qu’un taux de référence multiple (TRM) révèle les caractéristiques spécifiques aux revues en fonction du type d’article publié.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".