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Record W1006500117

Languages, representations and intersubjective pluralities : an ethno-sociolinguistic case study with plurilingual child migrants in French Welcome Classes in Montreal

2008· preprint· en· W1006500117 on OpenAlexaboutno aff
Elatiana Razafimandimbimanana

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedContext (archaeology)EthnographySociologySociolinguisticsDiversity (politics)Active listeningConstruct (python library)Gender studiesLinguisticsPsychologyGeographyAnthropologyCommunication
DOInot available

Abstract

fetched live from OpenAlex

Examining identities in Quebec inevitably points to language-related issues, especially when identities are considered in terms of migration, plurilingualism and the future generations. French is the province's single official language and intercultural relations are often strained when it comes to (re)balancing between protecting the French language and recognizing the inputs of social diversity. Schools play a major role in order to ensure the transmission of the dominant society's values. The core concept of this project is actually the sociolinguistic study of plurilingual and migrant “subjectivities” as encountered in a French-speaking school of Montreal. The children in question are also categorized as “allophones” and were enrolled in French Welcome Classes when the ethnographic interviews were conducted. Giving voice to them aims at exploring how they enact upon their linguistic repertoires and “migrational” trajectories. How do they (re)construct and (re)negociate their situated identities and what does that indicate regarding situated intercultural dynamics? Little light has been shed on how the very bearers (profiles identifiable as plurilingual, migrants and allophones) of situated diversity/plurality/minority describe themselves and their experiences. It is even more so when they are young children like our participants aged 6 to 13 years old. By listening on to their self-descriptions, we are also investigating on their definitions and relations regarding “otherness”. The researcher's epistemological framework will first be explained then, the Quebec context will be questioned with critical distance in an attempt to better understand the specificities related to migration, plurilingualism, social identities and schooling. The empirical data will then be analyzed as intersubjective discourse and representations on migrance, symbolic shifts and intercultural themes.

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)0.007
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.328
Teacher spread0.303 · 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 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
Published2008
Admission routes1
Has abstractyes

Explore more

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