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Record W4401612453 · doi:10.37536/rlm.2024.36.1.105208

Las anotaciones gramaticales del Em. 60 RAH: revisión crítica y aportaciones

2024· article· es· W4401612453 on OpenAlexfundno aff
Fernando García Andreva

Bibliographic record

VenueRevista de Literatura Medieval · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La presente contribución viene a sumarse a una reducida lista de trabajos sobre las anotaciones gramaticales del códice Em. 60 de la RAH, con el convencimiento de que este conjunto de notas resulta esencial para la comprensión cabal de la problemática de las Glosas. En concreto, el objetivo de este artículo es reflejar una revisión crítica sobre algunos de los aspectos caracterizadores de estos textos particulares, al hilo de las diferentes posturas de los estudiosos, aportando, en su caso, hipótesis que expliquen y justifiquen su presencia en el manuscrito. El trabajo se vertebra en los apartados siguientes: 1) examen de las denominaciones propuestas por los principales especialistas a los diferentes tipos de anotaciones gramaticales; 2) descripción tipológica de las anotaciones en relación con sus características formales; 3) acercamiento a la problemática sobre la función de las anotaciones gramaticales, en el marco general de las glosas emilianenses; y 4) propuesta personal de una tipología de las anotaciones gramaticales.

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)0.016
metaresearch head score (Gemma)0.047
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: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.018
Scholarly communication0.0070.012
Open science0.0020.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.016
GPT teacher head0.276
Teacher spread0.261 · 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
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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