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.
Bibliographic record
Abstract
Canadian universities’ sharpened focus on international students starting in the early 2000s coincided with the growing interest by students from China to study abroad. Various actors, including states, have shaped and benefited from this increase in student migration. I examine how student migrants deal with the feeling rules transmitted to them, as an under-explored site where the migration experience is shaped and justified. In light of the work of Sara Ahmed and Arlie Russell Hochschild, I explore how students feel and are asked to feel about their studies abroad, and how emotions work in framing and maintaining the migration narrative. Through Ahmed’s concept of skin of the collective, I argue that Chinese student migrants are affected by and contribute to an affective atmosphere regarding their years of study in Canada as specific feeling rules help them make sense of similar experiences of confusion, frustration, self-reliance, and responsibility. Based on interviews with students and university staffers, I discuss the links between this type of migration, the actors involved, and the emotional landscapes students navigate in order to highlight how they interpret their own experiences and how these interpretations contribute to maintaining a general narrative about being Chinese international students in Canada.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it