Lettre de L.F., eveche des Trois-Rivieres, a son eminence le cardinal Simeoni.
Bibliographic record
Abstract
Eminence,Dans ma lettre du 28 juillet dernier, je disais : " Il y a encore plusieurs " autres observations importantes faire, spcialement en ce qui regarde les " componendes que Mgr Cameron a mises en partage, contrairement un "' induit particulier qui m'a constamment autoris les appliquer mon propre " usage.Je les ai employes presque totalement aux besoins du diocse, sans " m'en rien rserver pour mes vieux jours." Et pourtant : " dignus est operarius " mercde su !" Voici quelques-unes de ces observations qui pourront vous tre utiles pour mieux juger la situation du diocse des Trois-Rivires et la question de justice dans le partage des dettes de ce diocse.lo. Lorsque j'ai pris l'administration financire du diocse des Trois-Ri- vires eu 1861, je l'ai trouv grev d'une dette d'environ $96 mille piastres ayec un intrt de plus de |6 mille piastres payer par anne sur cette dette.L'actif ne prsentait qu'un revenu d'environ $2 mille piastres annuel- lement pour payer ces intrts et rembourser ce capital !C'est dire que la
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".