Bibliographic record
Abstract
Les végétaux quittent leur statut d’objet passif sans puissance d’agir dans lequel l’humain les avait relégués. Mais peut-on dire qu’ils travaillent ? Un terrain ethnologique mené auprès de maraîchers AB et N&P dans le sud de la France décrit leurs différentes formes du travail avec les plantes, cultivées ou non, afin de caractériser ce qu’elles font en fonction des marges de manœuvre qui leur sont laissées. Les observations montrent des manières d’être végétales qui peuvent s’exprimer de façon plus ou moins autonome selon la capacité de les intégrer que montrent les maraîchers. Si les humains réussissent à accueillir ces manifestations végétales, celles-ci peuvent être caractérisées comme jeux en tant qu’ils permettent de casser les cadres anthropiques de production, faire évoluer les connaissances des maraîchers et permettre l’invention de nouvelles manières de travailler avec les plantes.
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 | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".