Bibliographic record
Abstract
En trois préambules et dix thèses, je considère la signification de « devenir-plante » en approfondissant le sens du devenir, de la végétalité et de leur imbrication mutuelle. Ces réflexions tournent, par ailleurs, autour de la figure de rotation dénotée dans le verbe latin vertere , même si elles remontent à la pensée grecque antique du devenir selon les voies parallèles de la métamorphose et du métabolisme, un changement de forme spatial et un changement temporel de trajectoire. La leçon pratique et philosophique de ces thèses est qu’il n’y a pas de devenir sans l’arrondi — sinon la circularité — du tournement ; qu’il ne s’agit pas d’une ligne directe d’ici à là, mais d’une route faite de détours et de va-et-vient (de l’être et du néant, de la progression ou de la digression dans une série et dans une boucle…) ; et que se tourner en (ou avec les) plantes est se tourner en (ou avec le) tournement, en osant devenir le devenir lui-même.
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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.097 | 0.020 |
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".