Bibliographic record
Abstract
Grâce aux témoignages antiques, source essentielle de cette étude, nous connaissons bien le déroulement de la cérémonie nuptiale à Rome. Son but est d’unir les époux mais aussi de proclamer leur union. Un certain nombre de rites scellent d’abord le mariage en privé mais en présence de témoins, humains et divins. Le départ théâtral de la fiancée informe les voisins de l’événement. Le bruyant cortège nuptial publie ensuite cette union à la cité entière. L’entrée solennelle de la mariée dans la maison conjugale prévient le quartier de l’arrivée de la nouvelle épouse. À l’intérieur son accueil rituel informe la maisonnée, qu’une nouvelle matrone fait désormais partie de la maison. Pour transmettre le message la parole formulaire, juridique ou religieuse, joue un rôle essentiel, mais d’autres langages sont utilisés : images signifiantes, gestuelle théâtrale, cris, acclamations, chants se succèdent ou s’associent, complétant ou remplaçant la parole formulaire. À chaque étape du rituel le langage change selon le lieu et le public auquel s’adresse le message.
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 | 0.001 | 0.001 |
| 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 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".