Les artefacts de la connaissance. Une perspective biogénétique structurale du symbole et de la technologie
Bibliographic record
Abstract
Les artefacts de la connaissance Une perspective biogénétique structurale du symbole et de la technologie Cet article propose une explication biogénétique structurale de la technique et de la technologie. Cette perspective repose sur la reconnaissance du fait qu'une des fonctions majeures du cerveau est la construction d'un système de modèles du monde. Ce système est appelé l'" environnement cognitif " (cognized environment) de l'organisme. En partant d'une théorie de l'évolution et du fonctionnement de l'environnement cognitif, on explore ici la relation entre, d'une part, l'accomplissement et l'expression symboliques des modèles neuraux et, d'autre part, les transformations matérielles qui constituent la technologie. Les boucles de rétroaction négative et positive qui relient l'environnement cognitif et les transformations technologiques du monde sont discutées. Les implications de cette perspective pour la compréhension des problèmes de la société moderne sont abordées.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.037 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".