Quelques principes de normalisation des noms botaniques français : les arbres d’Amérique du Nord1
Bibliographic record
Abstract
Le présent article porte sur la normalisation des noms botaniques français désignant les arbres indigènes d’Amérique du Nord. Il propose une nomenclature normalisée française, inspirée des noms scientifiques latins et des noms populaires français. Ses quatre principes de base sont : le caractère binomial du nom, son exclusivité, l’exactitude de sa signification botanique et son universalité. Sont également analysés d’autres principes comme la priorité du nom existant sur le néonyme ainsi que le recours aux grandes catégories conceptuelles, telles que la morphologie, la ressemblance avec d’autres taxons, la toponymie, l’écologie, l’anthroponymie et l’utilisation de la plante. Enfin, un aperçu du travail qui reste à faire pour normaliser la totalité des noms français de la dendroflore mondiale vient conclure l’article.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".