Naître ou ne pas être. Temps et contretemps de la maxime <i>infans conceptus</i>
Bibliographic record
Abstract
L’enfant conçu mais non encore né est un objet élusif que le droit civil peine à saisir. Dans une enquête publiée en 2013, consacrée à la construction par la doctrine du statut juridique de l’embryon humain à travers la maxime infans conceptus, Gaële Gidrol-Mistral et Anne Saris ont mis en lumière une pluralité de perspectives doctrinales qui rejaillissent sur le statut de l’enfant conçu. Leur étude révèle une doctrine qui oscille entre lui attribuer le statut de chose ou de personne. À l’heure où les technologies procréatives ne cessent de se développer, que la grossesse pour autrui prend place dans le Code civil du Québec et que les débats politiques sur l’avortement se ravivent, comprendre le berceau doctrinal de ces enjeux devient nécessaire. Partant de cette enquête, le présent article retrace chacune des perspectives doctrinales pour les confronter aux situations de l’utérus artificiel, de l’enfant mort-né et de la grossesse pour autrui.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".