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Record W7132722054

The linguistic attitudes of young hispanics in Montreal.

2016· article· es· W7132722054 on OpenAlexaboutno aff
Laura Pérez Arreaza

Bibliographic record

Venuee_Buah · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Affect (linguistics)PerceptionSociolinguistics
DOInot available

Abstract

fetched live from OpenAlex

Múltiples factores condicionan la transmisión de una lengua en contextos bilingües, y dentro de ellos las actitudes lingüísticas juegan un rol importante. Estas son definidas como las valoraciones de los hablantes hacia un fenómeno específico, lengua, variedad o sociolecto. Este trabajo aborda el problema en Montreal, contexto multilingüe y multidialectal, donde el español comparte uso con el francés y el inglés, lenguas mayoritarias, y donde distintas variedades del español entran en contacto. El objetivo del estudio es determinar, a través del cuestionario, las actitudes de jóvenes hispanohablantes (14-24 años) frente al español y sus variedades dialectales. Los resultados muestran que: 1) los informantes reconocen la diversidad del español y se reconocen en su norma, 2) las normas de origen, la mexicanocentroamericana y el español peninsular gozan de prestigio entre los jóvenes, 3) se reconoce cierta tendencia a la acomodación lingüística en la primera generación, 4) los jóvenes se perfilan como transmisores de la lengua española y afirman valorarla positivamente, por lealtad y por la utilidad de la misma.

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)0.001
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 score0.120
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.311
Teacher spread0.292 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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