Juan Manuel BELLO LEÓN, Los protocolos notariales de los escribanos de Tenerife Sebastián Páez y Antón de Vallejo (años 1505-1506), La Laguna-Tenerife, Instituto de Estudios Canarios (CECEL), 2015 (Fontes Rerum Canariarum; 49). ISBN 978-84-608-1420-7 (CD-ROM).
Bibliographic record
Abstract
Aquest llibre en format electrònic vol ser una edició dels primers proto- cols notarials de Tenerife, que són de gran importància per a la història de les Illes Canàries. El llibre s'insereix dins dels estudis sobre documentació notarial i dins de l'edició de fonts canàries. Es segueix la línia marcada per les edicions italianes de llibres notarials i també per la Fundació Noguera en l'edició de protocols notarials catalans, un altre exemple que no pot deixar-se de banda ja que és un referent a nivell internacional. A més és important fer notar com l'edició de protocols notarials té per objectiu estudiar la institució notarial, però també vol apropar aquesta documentació a la comunitat científica. Per això cal lloar la iniciativa d'aquest treball.
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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 | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.045 | 0.023 |
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".