Bibliographic record
Abstract
En 1983, une maxime de droit naturel fut concretisee en une obligation canonique de reparer le tort fait a quelqu'un. Le can. 128 encourage la reparation volontaire d'un dommage cause et fournit ainsi une assise legale pour que toute personne ayant subi un dommage puisse revendiquer ses droits et les defendre devant un for ecclesiastique. Il permet aussi que l'Eglise puisse mettre ce principe en application et imposer la reparation du dommage inflige. Cet article traite du sens du can. 128, de sa nature, ainsi que des procedures et des methodes de reparation. Il tente de demontrer que le canon a ete inexploite jusqu'ici comme fondement dans les demandes devant un for ecclesiastique de reparations pour dommages causes. Le canon gagnerait a etre utilise comme un canon de base ayant ses propres applications plutot qu'un simple appui philosophique et canonique pour d'autres principes juridiques.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".