The Emotional Economy of Migration Driving Mainland Chinese Transnational Sojourning across Migration Regimes
Bibliographic record
Abstract
In focusing on the way emotional ideologies underpin migration regimes, this paper underlines how migrants manage their emotions in a quest towards wider economic and social integration. It compares the experiences of Mainland Chinese immigrants who are in Canada with those that returned to China temporarily but plan to remigrate to Canada eventually, thus sustaining transnational journeys. The paper suggests that the intersection of emotional and migration regimes imposes norms and sanctions that direct migrants towards what are considered appropriate emotions and emotional subjectivities. The economic logics shaping the circulation of emotions within and across geographical space during transnational sojourning is referred to here as the emotional economy of migration. The paper argues that certain emotions appreciate or depreciate in value as they are mobilised geographically during such transnational sojourning. The analysis contributes to migration scholarship by drawing out the emotional logics, circulations, and calculations that structure and prop up the political economy of migration regimes.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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 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".