Bibliographic record
Abstract
Cet article étudie les processus grâce auxquels un élève interprète un document cartographique. En classe de géographie, un élève construit ses représentations d'un monde conçu comme une étendue terrestre socialement appropriée. L'interprétation des cartes n'est pas une activité innée ou automatique. Les concepts de représentation, de système d'expression cartographique et de type iconique permettent de mieux comprendre et de rendre compte des processus cognitifs et des relations sémiotiques mis en oeuvre. Une carte articule un mode d'expression graphique fondé sur les analogies induites par une sémiotique planaire et un mode d'expression verbal fondé sur une lecture séquentielle de symboles. L'identification de formes cartographiques dépend d'un apprentissage méthodologique et d'une culture géographique. Elle n'épuise pas toutes les interrogations de la géographie, mais s'avère particulièrement adaptée aux problématiques de l'analyse spatiale.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".