Bibliographic record
Abstract
L’une des missions fondamentales de l’école de la Troisième République fut d’être l’institutrice de la nation. Mais comment procéder pour que chaque écolier ait « la patrie au cœur » ? Dès 1867, l’idée neuve apportée par les philosophes-pédagogues, pour faire la France, n’était pas d’enseigner l’histoire ou la morale ; c’était d’apprendre la nature. D’où la lancinante cantilène du « miracle naturel de la France » dont l’écho a résonné dans toute la littérature scolaire jusqu’au XXe siècle. En prenant vigoureusement appui sur l’étude de la nature, les contenus disciplinaires bénéficièrent d’une opportune cure de jouvence que le renouvellement des méthodes pédagogiques - promenades, jardins, herbiers, leçons de choses – a accompagnée. Chose plus inattendue, en s’installant dans les salles de classe, l’éducation à la nature a fait émerger ce que l’on peut appeler une « éthique de la nature ».
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".