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Tres tipos de cuantificadores en Chuj de San Mateo Ixtatán

2024· article· es· W4408176109 on OpenAlexaff
Justin Royer, Cristina Buenrostro Díaz

Bibliographic record

VenueLingüística Méxicana Nueva Época · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Este trabajo proporcionamos una descripción y análisis sintáctico de diferentes tipos de cuantificadores en Chuj. Analizamos un subconjunto de expresiones que cuantifican sobre entidades y que suelen aparecer en la posición inicial de oración. Proponemos que deben distinguirse tres tipos de cuantificadores: (i) predicativos, que aparecen de manera obligatoria en posición inicial de la oración porque el Chuj es una lengua de predicado inicial; (ii) de foco, que son determinantes especificados lexicalmente con un rasgo de enfoque, causando que las frases nominales a las cuales cuantifican aparezcan en la periferia izquierda; y (iii) básicos, que son determinantes que carecen del rasgo de enfoque, y entonces no hay efectos sobre la posición sintáctica de los argumentos a los cuales cuantifican.

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)0.003
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 score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.014
GPT teacher head0.278
Teacher spread0.265 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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