Représentations du processus d’inscription dans le territoire des étudiants chinois pendant leur séjour en France
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".