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Record W4311963993 · doi:10.17184/eac.5760

Représentations du processus d’inscription dans le territoire des étudiants chinois pendant leur séjour en France

2022· book-chapter· fr· W4311963993 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEditions des archives contemporaines eBooks · 2022
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Combinant la didactique des langues et la géographie sociale, cette étude se concentre sur la phase de transition des étudiants chinois lorsqu’ils arrivent en France dans le cadre d’un projet de mobilité académique et sont confrontés à l’appropriation d’un nouvel environnement. Ce processus d’appropriation, qui englobe à la fois orientation, exploration et construction de significations, est examiné à travers des représentations cartographiques et des entretiens recueillis auprès d’un échantillon de ces étudiants en mobilité. Le postulat de départ est que l’ensemble de la ville hôte peut être vue comme un espace d’apprentissage dans lequel les étudiants peuvent interagir de façon significative avec la culture et la langue cibles. Cette recherche vise ainsi à déterminer l’empan des explorations de la ville hôte afin de délimiter les espaces tels qu’ils sont symboliquement appropriés par ces étudiants.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0070.008
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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