Structure Prétopologique et Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ce livre presente un ensemble d’applications des structures pretopologiques en reconnaissance de formes et plus particulierement pour l’extraction de l’ecriture de documents presentant des images de scenes et pour la verification hors ligne des signatures manuscrites. Les travaux ont ete realise entre 1997 et 2010 dans le cadre d’une collaboration entre le laboratoire Image et Reconnaissance de Formes – Systemes Intelligents et Communicants (IRF – SIC) de l’Universite Ibn Zohr d’Agadir (Maroc) et le laboratoire Interdisciplinaire de Recherche en Imagerie et Calcul Scientifique (LIRICS) de l’Universite du Quebec a Trois-Rivieres, Quebec (Canada). Cette collaboration adonne suite a la soutenance de deux doctorats d’etat et un nombre important de publications et de projets de recherche finances.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it