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Record W7112661241

Plainchant Fragments in Braga and Guimarães (11th – 15th century)

2020· article· en· W7112661241 on OpenAlexfundno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaFundação para a Ciência e a TecnologiaUniversidade do Minho
KeywordsNatural (archaeology)Product (mathematics)Feature (linguistics)Object (grammar)
DOInot available

Abstract

fetched live from OpenAlex

Solange Corbin was the first scholar to regard the lozenged punctum employed as mi-sign (“special punctum”) as the main characteristic of a “Portuguese notation” derived from Aquitanian notation. Even though Corbin’s findings were later partially revised, the special punctum is still regarded as a graphical feature mostly peculiar to Portuguese manuscripts. This palaeographical study investigates the use of the special punctum and the changes that occurred to Aquitanian notation in 104 fragments dated from the twelfth to the fifteenth centuries in the archives of Braga and Guimarães. This research demonstrates that the special punctum was the preferred scribal device employed to convey semitonal information, but that it was not systematically employed. Over the course of four centuries Portugal witnessed the coexistence of two parallel systems for notating plainchant. While both systems employed the typical elements of Aquitanian notation on a single line without clefs, one was perfectly diastematic while the other conveyed no indications of semitones.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.110
GPT teacher head0.363
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicMedieval Iberian StudiesFrench-language works237,207