Bibliographic record
Abstract
Aux quatre coins du monde, la science enseignée à l’école semble être empêtrée dans un système économique mondial privilégiant l’enrichissement de peu de détenteurs de capital, principalement au détriment du bien-être de nombreux individus, sociétés et environnements. Par ailleurs, les domaines de la science et de la technologie professionnelle semblent liés à cette situation non durable. Dans les économies dites du savoir, l’accent est habituellement mis sur la création de désirs d’images idéalistes abstraites chez les consommateurs qui cachent souvent des caractéristiques problématiques pour les produits et services à but lucratif. Dans cet article, un cadre théorique visant à l’organisation de la science et de l’éducation technologique est discuté. Ce dernier pourra tenter d’aider à résoudre ces problèmes et, espérons-le, contribuer au bien-être personnel, social et environnemental général.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.011 |
| Science and technology studies | 0.009 | 0.032 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".