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Record W7071400420

Second language speakers’ attitudes towards the Québec French variety: An exploration of urban and rural Hispanic speakers

2020· dissertation· en· W7071400420 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)Second languageFrenchForeign languageImmigrationFirst language
DOInot available

Abstract

fetched live from OpenAlex

The province of Québec has been the scene of great political and linguistic changes in the past 60 years. These changes have often challenged Québec residents to reassess their existing or to develop new attitudes towards language and language use, and towards various ethnolinguistic groups, including French- and English-speaking communities. Despite its status as the sole official language of Québec, French—and more specifically the Québec French (QF) variety—has frequently been relegated to a lower status in favor of the Parisian “norm,” which is usually referred to as French from France (FF). Designated as the target variety for Radio-Canada newscasters, FF is also often adopted by teachers of French as a second language (L2) in Québec’s classrooms. It is little surprise, therefore, that L2 speakers of French tend to give negative evaluations to speakers of QF while not being able to reliably distinguish between the two varieties. However, far less is known about L2 speakers’ attitudes towards the QF variety specifically, and the French variety that they would like to learn and use. There is also a lack of research examining the effects of L2 speakers’ attitudes on their production of QF speech patterns, in relation to their sense of belonging towards the majority (francophone) community. But most importantly, there is a need to investigate the attitudes that L2 speakers living outside urban centres hold towards the QF variety and its speakers, and to examine whether these attitudes change, particularly in contexts where L2 speakers such as foreign temporary workers—an essential labour force representing more than 12,000 Latin Americans yearly—are geographically and socially isolated. With a better understanding of these issues, it would be possible to create practical recommendations for L2 French teachers as well as employers and professionals in charge of hiring foreign workers. With these broad goals in mind, this doctoral dissertation includes three studies, all carried out from a sociolinguistic perspective. Study 1 investigated L2 French speakers’ attitudes towards the QF speech variety as a function of their participation in the francisation (French-language instruction) program. Fifty-eight adult L2 French speakers listened to short sentences that either included or did not include QF speech patterns, rating these sentences for pleasantness, extent of their exposure to these and similar pronunciation patterns, and their preference to choose these patterns as a pronunciation model to follow. Focusing on the same 58 L2 French speakers, Study 2 examined the links between these speakers’ acculturation towards their home culture and the Québec culture and their preference for and their production of QF speech features, separately for those with and without experience in the francisation program. Finally, Study 3 targeted a group of 12 Guatemalan temporary workers living in rural areas, investigating longitudinally their attitudes and motivations towards learning and using L2 French, with qualitative analyses conducted to determine whether there was a change in the workers’ language use, attitudes, and motivation levels throughout their work experience in a French-speaking environment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.047
GPT teacher head0.319
Teacher spread0.272 · 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
Published2020
Admission routes1
Has abstractyes

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