Bibliographic record
Abstract
Pour bénéficier de l'envoi par courriel des avis de mise en ligne ainsi que des informations diverses collectées par "Informations - Géographie Physique", veuillez vous inscrire à la lettre de Physio-Géo (en bas et à gauche de la page d'accueil ou par courriel : claude.martin0156@orange.fr). Les personnes inscrites à la lettre de Physio-Géo qui n'ont pas accès aux fichiers pdf par l'intermédiaire de leur organisme, peuvent les obtenir gracieusement auprès de la revue (claude.martin0156@orange.fr). Vingt quatre articles ont été reçus en 2007 et 2008. Neuf articles ont été mis en ligne. Sont intervenus comme réviseurs : Françoise Allignol, Valérie Andrieu-Ponel, Mourad Arabi (Algérie), Pierre-Alain Ayral, Jean-Louis Ballais, Aïcha Benmohammadi (Maroc), Ali Bensaad (Algérie), Pierre Carrega, Adrian Cioaca (Roumanie), Jean-Charles Clanet, Claude Cosandey, Marc Côte, Adeline Cotonnec, Pierre Derioz, Yvette Dewolf, Corinne Feïss-Jehel, Michel Fontugne, Thierry Gauquelin, Christian Giusti, Romain Guillon, Stéphane Jaillet, Mustapha Kebiche (Canada), Jean-Pierre Laborde, Abdellah Laouina (Maroc), Bertrand Lemartinel, Luciano Lourenço (Portugal), Alain Marre, Claude Martin, Michel Mietton, Jean Nicod, Marie-Josée Penven, Dan Petrea (Roumanie), Guillaume Pierre, Christian Puech, Simone Ratsivalaka (Madagascar), Jean Riser, Jean-Noël Salomon, Georges Serpantié, Yves Simone, Serge Suanez, Irina Ungureanu (Roumanie), Pierre Usselmann, Olivier Vento. Ont participé à la coordination des révisions, outre les membres du comité de direction (Claude Martin, Jean-Louis Ballais, Abdellah Laouina et Alain Marre), Valérie Andrieu-Ponel, Bertrand Lemartinel et Grigore Posea (Roumanie). Ultimes corrections et composition des textes : Claude Martin.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.609 | 0.560 |
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".