Comment les « spoutniks » sont montés au cielles rendements record du grand bond en avant
Bibliographic record
Abstract
RésuméÀ travers l'étude du lancement de « spoutniks » agricoles qui visent à obtenir des rendements record durant le grand bond en avant de 1958, l'auteur s'intéresse au rôle que les cadres ruraux de base ont joué dans ce mouvement de compétition nationale. Soumis aux pressionsadministratives, qui, de haut en bas, s'exercent à tous les échelons de la hiérarchie, ces cadres ont été entraînés dans une spirale de surenchère qui les a conduits à imposer aux foyers paysans d'atteindre des objectifs toujours plus irréalistes. Face à cette démesure, les protagonistes concernés n'ont pu faire autrement que de tricher. Les paysans ont été incapables de s'opposer à ces cadres villageois auxquels, pourtant, ils n'accordaient que peu de considération en raison de l'incompétence dont ils faisaient preuve.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".