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Las relaciones anafóricas de los sujetos nulos y explícitos del español y del portugués brasileño: la proximidad tipológica... funciona

2020· article· es· W3038354232 on OpenAlexaff
Juana M. Liceras, Ariane Dei Tos Cardenuto

Bibliographic record

VenueCaracol · 2020
Typearticle
Languagees
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Ottawa
FundersEuropean Regional Development Fund
KeywordsHumanitiesPhilosophyChemistry

Abstract

fetched live from OpenAlex

Según The Position of Antecedent Hypothesis – PAH, propuesta por Carminati (2002), en las lenguas de sujeto nulo, la selección de antecedente por parte del sujeto nulo o del sujeto explícito de una subordinada difiere en función de la posición estructural que dicho antecedente ocupe en la oración principal. A partir de esta hipótesis, hicimos un estudio empírico dirigido a constatar si se cumple de forma similar en el español y en el portugués brasileño (PB). La comparación de estas dos lenguas es de especial interés porque los cambios que sufrió el sistema pronominal del PB en las últimas décadas llevaron a la propuesta de que el PB actual no es una lengua de sujeto nulo clásica. Los resultados de una prueba de comprensión y una prueba de producción que les fueron administradas a un grupo de hablantes de español y a otro de hablantes de PB muestran patrones similares con respecto a la PAH, lo cual nos lleva a concluir que las diferencias del sistema pronominal no parece que tengan consecuencias para la resolución anafórica de la ambigüedad.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.037
GPT teacher head0.268
Teacher spread0.231 · 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 designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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