Bibliographic record
Abstract
Propositions sur l’intelligence est un essai portant sur l’événement de la pensée comme une convergence de plusieurs domaines appartenant au réel, notamment à l’histoire, à la logique et à l’univers matériel-énergétique. L’auteur fait valoir ce point en opposition aux discours ambiants techno-animistes et neuro-centristes qui réduisent la pensée à la technique et aux particules élémentaires. En articulant une critique sur les structures mythologiques coercitives d’une technopole en pleine expansion, ce texte tente de recadrer la notion d’intelligence à l’intérieur d’une condition humaine et animale. À partir de ce point, Propositions sur l’intelligence réfute les dérives post-humaines d’une culture militarisée et spectaculaire, en réaffirmant la capacité d’un individu à s’engager pleinement avec la forme de la relation qu’il entretient avec sa pensée.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.045 | 0.005 |
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; both teacher heads agree on what is shown here.
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".