Bibliographic record
Abstract
L'aliment entre dans une ère nouvelle de transformations biotechnologiques qui lui permettra de devenir un moyen d'intervention sur le corps au niveau génétique, ce qui soulève des questions d'ordre éthique. La science établit tics liens de plus en plus nombreux entre l'alimentation et la santé qui permettent à l'agro-alimentaire de développer des produits d'un nouveau genre : l'aliment fonctionnel, qui se situe entre l'aliment et le médicament. Ultimement, il sera possible d'offrir au consommateur les aliments correspondants à ses besoins spécifiques. Mais d'ici là, il faut s'interroger sur l'innocuité des produits et leur efficacité réelle. Ces produits santé qui constituent un marché à venir important pour l'agro-alimentaire sont de plus en plus difficiles à réglementer, et on doit s'assurer qu'ils ne contribueront pas à accroître les inégalités.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".