Bibliographic record
Abstract
Le Pérou, pays possédant avec Cuba la plus ancienne communauté chinoise d’Amérique latine, est devenu depuis l’ouverture de la Chine, un pays de transit mais aussi de destination pour un grand nombre d’immigrants chinois. Cet article a pour objet de montrer la place que le Pérou a prise dans le réseau des routes empruntées par les migrants et leurs passeurs pour atteindre les États-Unis et le Canada et de dresser le profil des nouveaux migrants grâce à la constitution d’une base de données réalisée à partir de l’examen de demandes de visas pour le Pérou faites par des Chinois ainsi que des dossiers des garants chinois cautionnant ces demandes. La nouvelle immigration chinoise est plus jeune et plus féminine. Autrefois exclusivement originaires du Guangdong, les nouveaux migrants proviennent maintenant aussi du Fujian et des provinces du nord de la Chine.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".