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Record W2274715715

Migrantes cubanos en Montreal: una adaptación vista desde el habla

2015· article· es· W2274715715 on OpenAlexaboutno aff
Maura Cruz Enríquez

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesLinguisticsArtPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

espanolEn el siguiente trabajo presentamos un estudio sobre el habla de la comunidad cubana en Montreal que se centra, especialmente, en las posibles variaciones sufridas producto del contacto linguistico frances- espanol. Para ello, hemos analizado conversaciones semidirigidas grabadas (habla coloquial) con 19 cubanos residentes en Montreal. El habla de los cubanos participantes en este estudio presenta algunos de los rasgos caracteristicos de cualquier situacion de contacto linguistico (variaciones tanto en el nivel morfosintactico como en el nivel lexico-semantico), pero posee tambien peculiaridades debidas a la distancia tipologica de las lenguas implicadas (espanol- frances) y al contraste entre las sociedades de origen y de acogida, entre otros factores. EnglishCuban migrants in Montreal: an adaptation viewed from the speech perspective. In this paper we present a study of the speech of the Cuban community in Montreal that focus on possible contact-induced variations. To do this, we use data from a corpus collected by the researcher through recorded conversations (colloquial speech) with 19 Cubans currently living in Montreal. After analyzing the data, we have found that the speech of the Cuban participants in this study shows some of the characteristic features of any language contact situation (variations at the morphosyntactic and lexical-semantic levels), but also has peculiarities relating to the typological distance between the languages involved (Spanish-French) and the contrast between the societies, among other factors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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