IMMIGRATION, TRANSNATIONALISM AND ‘FLEXIBLE CITIZENSHIP’ IN CANADA: AN EXAMINATION OF ONG'S THESIS TEN YEARS ON
Bibliographic record
Abstract
ABSTRACT This paper examines the relationship between transnationalism and belonging, with particular reference to Ong's concept of ‘flexible citizenship’, ten years after it was first articulated. It asks ‘to what extent is Ong's work still relevant for the contemporary experiences of transnational migrants?’ With a focus on research in Canada, I argue that, contrary to their ‘flexible’ intentions, transnational immigrants often demonstrate a high level of local civic involvement and a localised sense of identity in the ‘new’ country, even when continuing to practice transnationalism on a daily basis. In addition, the paper contributes to debates around the relationship between transnationalism and integration over time. It draws upon an indepth qualitative study of immigrant women over eight years to examine the extent of their transnational activities and feelings of belonging. It concludes that while the notion of flexible citizenship would in many cases seem to describe accurately the objectives of Chinese immigrants to Canada, it is perhaps less salient in relation to some of their experiences.
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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 | 0.002 | 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 | 0.001 |
| 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".