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Record W7039397032

Migrating and constructing identities in Francophone contexts. A sociolinguistic interpretation of African migrants' integration processes in France and New-Brunswick Acadia

2014· article· fr· W7039397032 on OpenAlexaboutno aff

Bibliographic record

Venuetheses.fr (ABES) · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchInterpretation (philosophy)ESPACEContext (archaeology)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

Cette recherche doctorale interroge la construction des identités linguistiques dans les trajectoires migratoires et le processus d’intégration de migrants africains plurilingues, dont les parcours de vie s’inscrivent dans les espaces francophones pluriels et diversitaires que constituent l’Afrique subsaharienne, la France hexagonale et l’Acadie du Nouveau-Brunswick. Elle repose sur une démarche comparée ayant pour but de chercher à comprendre comment et dans quelle mesure les migrants originaires d’Afrique noire s'inscrivent respectivement dans les contextes d'intégration particuliers que constituent l'Acadie du Nouveau-Brunswick et la France, en misant ou pas sur leur identité et compétence francophones. Cette recherche s’inscrit par ailleurs dans une perspective qualitative herméneutique accordant une place primordiale aux expériences des personnes et à l’historicité des processus et des phénomènes sociaux innervant ces expériences. L’étude menée propose, dans cette perspective, une lecture sociolinguistique des histoires de vie et biographies langagières des migrants rencontrés : approche qui permet d’interpréter les expériences mises en mots par ces derniers, et de saisir la portée des reconfigurations engendrées par la confrontation à des environnements sociolinguistiques et socioculturels autres que ceux qui les ont institués en tant qu’individus-Locuteurs

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.136
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.240
Teacher spread0.230 · 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.

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuetheses.fr (ABES)Same topicCanadian Identity and HistoryFrench-language works237,207