Bibliographic record
Abstract
L’objectif de ce texte est de montrer que les concepts darwiniens peuvent aider à comprendre le développement et le fonctionnement de l’intelligence humaine. Le texte comprend cinq parties. Dans la première partie, nous abordons brièvement des notions d’intelligence et d’évolution. Dans la seconde, nous exposons les correspondances de certains aspects de la théorie de Piaget avec ceux de la théorie évolutionniste. Dans la troisième partie, nous mettons en évidence que les concepts darwiniens s’appliquent aux deux modèles de développement cognitif élaborés par Siegler. Dans la quatrième partie, nous montrons que l’augmentation des scores de QI au fil des générations (appelée Effet Flynn) peut être imputable aux pressions de l’environnement. Enfin, nous présentons brièvement l’impact de faibles habiletés intellectuelles sur la santé physique et psychologique.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".