Toward Transnational Communities of Practice: An Inquiry Into the Experiences of Transnational Academic Mobility
Bibliographic record
Abstract
Transnational mobility characterized by multiple and circular movement of people and their simultaneous interconnections across transnational borders pose challenges to the conception of a closed boundary of community of practice (CoP). This study aims to explore the changing dynamics of CoP in transnational space by examining experiences of transnational academic mobility and connectivity. Through a qualitative case study of internationally educated Chinese transnational academics, who maintained academic and professional connections with their host countries of doctoral studies, this article demonstrates the building of transnational CoPs through their sociocultural learning in transnational space. It underscores tensions, negotiation of power relations, identity trans/formation, and potentials for change in transnational social space. It overshadows the significance of physical boundaries in organizing work, learning, and identities. The study highlights conceptualization of transnational communities of practice for understanding the experiences and identities of transnational academics.
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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 | 0.000 | 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 | 0.000 |
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".