Voyages illustrés aux pays froids (xvie-xixe siècle)
Bibliographic record
Abstract
Pourquoi, à la lecture des récits de voyage illustrés dans les Alpes, dans le « Grand Nord » (Arctique, Nord de l'Amérique, Scandinavie) ou encore en Sibérie et dans l'Antarctique, a-t-on le sentiment d’une parenté aussi diffuse et mystérieuse qu’évidente ? D’où provient l’impression, que nous procurent les textes et les images, d’un univers à la fois proche et lointain, familier et déroutant, celui des pays froids ? Jusqu’à l’apparition de la photographie, le livre imprimé et ses illustrations offrent aux lecteurs un moyen de connaissance en même temps qu’une véritable machine à fantasme sur cet ailleurs étrange qui se révèle à la fois d’accès difficile et à portée de main, fascinant et terrifiant. En croisant la variété des paysages et celle des approches disciplinaires, les auteurs du présent ouvrage entendent contribuer à l’exploration de ce continent encore méconnu de la littérature viatique.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".