Bibliographic record
Abstract
Après une enfance paysanne et des études d’agronomie, Honda Seiroku (1862-1952) approfondit la sylviculture en Allemagne de 1890 à 1892. Il fait partie de l’élite éclairée de l’ère Meiji, époque d’introduction des techniques occidentales. En 1893, il devient enseignant et modernise la gestion forestière du Japon. En 1901, il prend en charge le projet du parc Hibiya à Tōkyō, premier parc public à valeur archétypale. Il oriente le projet autour du sanctuaire Meiji (1915) vers la création d’une forêt en pleine ville, considérée comme exemplaire aujourd’hui. Il est à l’origine de la conception de nombreux parcs urbains ainsi que des parcs nationaux (1930). À travers les réalisations de Honda, apparaissent les spécificités de son parcours de forestier-paysagiste, objet d’une réception renouvelée aujourd’hui.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".