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Record W429427346 · doi:10.1075/lllt.21

Studies in French Applied Linguistics

2008· book· en· W429427346 on OpenAlexaboutno aff
Dalila Ayoun

Bibliographic record

VenueLanguage learning and language teaching · 2008
Typebook
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsGlossaryEthnographyFrenchLiteracyIndex (typography)Generative grammarPerspective (graphical)SociologyHistoryComputer scienceArtificial intelligenceAnthropologyPhilosophyPedagogy

Abstract

fetched live from OpenAlex

Studies in French Applied Linguistics invites the reader to adopt a broad perspective on applied linguistics, illustrating the fascinating multifaceted work researchers are conducted in so many various, inter-connected subfields. The five chapters of the first part are dedicated to the first and second language acquisition of French in various settings: First language acquisition by normal children from a generative perspective and by children with Specific Language Impairment; second language acquisition in Canadian immersion settings, from a neurolinguistic approach to phonology and natural language processing and CALL. The six chapters of the second part explore the contribution of French in various subfields of applied linguistics such as an anthropological approach to literacy issues in Guadeloupean Kréyòl, literacy issues in new technologies, phonological and lexical innovations in the banlieues, French in North Africa, language planning and policy in Quebec, as well as the emerging field of forensic linguistics from an historical perspective.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.008
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.032
GPT teacher head0.373
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations37
Published2008
Admission routes1
Has abstractyes

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