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Record W2729794379

Variación dialectal de la lengua portuguesa. Evolución de la lengua portuguesa en un contexto de migración: la "comunidade portuguesa" de Montreal

2016· article· es· W2729794379 on OpenAlexaboutno aff
Fabio Scetti

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseHumanitiesContext (archaeology)Spanish languageGeographyArtLinguisticsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Este artículo aborda la temática de la evolución de la lengua portuguesa en un contexto de la migración. La “comunidade portuguesa” de Montreal representa un ejemplo de integración lingüística intragrupo unida y fuerte, en un contexto urbano complejo, como el de la ciudad canadiense. Observando las prácticas de la lengua, nuestro estudio se concentra sobre el análisis de 7 elementos de “fragilidad” de la estructura de la lengua, consecuencias de la situación de contacto, debido a las influencias del contexto y del francés y del inglés, lenguas dominantes. En esta visión de erosión de la lengua, varios discursos se crean sobre su definición, sus límites y su continuación en el futuro. Hoy en día, la lengua portuguesa puede sobrevivir en este nuevo contexto y transmitirse de generación en generación, promocionándose como lengua internacional y del futuro, pero sobre todo realzándose como marca fundamental de la identidad del grupo.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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 designQualitative
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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