Bibliographic record
Abstract
Dans ce texte, j'aborde la question des identités transnationales en commençant par revenir sur la définition du transnationalisme telle qu'elle est travaillée dans les études sur la migration. Je montre comment la perspective transnationale invite à dépasser la méthodologie nationaliste qui continue à façonner les recherches sur les migrations transfrontalières. Les approches transnationales posent la question de la pertinence de l'état nation comme seule unité d'analyse pour rendre compte du déploiement identitaire, des pratiques socioculturelles et économiques, des croyances et des affiliations individuelles ou collectives des migrant-e-s. Les identités transnationales sont le produit de relations réelles ou imaginées, de traditions ou de nostalgie entretenues par des individus ou des communautés au-delà des frontières nationales. Ces relations d'appartenance peuvent être langagières, religieuses, ethniques, raciales ou fondées sur des histoires partagées.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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; both teacher heads agree on what is shown here.
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".