Głośny rezon... Edycja kolęd z osiemnastowiecznych rękopisów biblioteki karmelitanek bosych w Krakowie
Bibliographic record
Abstract
„Glośny rezon...” – An edition. Carols from the monastery of enclosed Carmelite Nuns in Cracow presents a summary of the research regarding Carmelite Christmas canticles. „Glośny rezon...” is a collection of 18th century carols, written down by enclosed Carmelite Nuns from the Cracow monastery (Wesola quarter). Two duplicates of the main manuscript have survived: one for the male and one for the female part of the gathering. Both of them contain 163 carols related to the birth of the Lord. Th e author’s main goal is to faithfully edit the original manuscripts. Since the original „Glośny rezon...” did not include music notations, they would not be attached to the present edition either. Th e complete edition should consist of: a transcription of the 18th century Carmelite carols, a commentary with a glossary as well as a critical apparatus including diff erent variants of the texts which can be found in other Carmelite collections of canticles from the same period. Th e edition should be preceded by an account of the traditions of composing carols and caroling itself, and a description of the contents of the library where „Glośny rezon...” was found. Moreover, the edited copies should be described in every detail. Th e planned edition will provide careful account of the diff erences, subjects and the time of origin of the carols. Th e article reports which tasks have already been completed and what is left for future research
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.017 |
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".