Politiser l’équipement, équiper l’autonomie Enquête sur l’autoconstruction de matériel agricole en France
Bibliographic record
Abstract
Cet article explore les ressorts rhétoriques et pratiques de l’autonomie technologique. Il s’appuie sur une recherche conduite autour des activités d’un organisme de formation prônant l’autoconstruction de machines agricoles, l’ Atelier Paysan . Il montre tout d’abord une pluralité de modes d’existence de l’autonomie : une autonomie dotée d’une épaisseur politique, prônée par les formateurs, et une autonomie plus pragmatique pour les agriculteurs. Seront ensuite mises en évidence l’importance des outils et des fournitures mobilisés lors des formations, constituant l’infrastructure de toute activité de construction et de maintenance. L’article argumente ainsi en faveur d’une prise en compte accrue de la dimension matérielle des processus d’autonomisation.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".