Pursuing intra-country cross-border higher education: an exploration of Macao students’ motivations to study in mainland Chinese universities
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
This study explores the motivations of Macao students to pursue intra-country cross-border higher education (HE) at mainland Chinese universities. Data was collected from in-depth interviews with 20 Macao students in mainland Chinese universities, supplemented by the universities’ recruitment and scholarship policies toward SAR students. Informed by a revised ‘push-pull’ model and the notion of migration infrastructures, the findings reveal that societal infrastructures in Macao and mainland China under the ‘One Country, Two Systems’ guiding framework form a push-pull dynamic to shape Macao students’ intra-country cross-border mobility aspirations. Institutional infrastructures mainly manifested as Macao’s uneven HE development and preferential enrolment policies in mainland Chinese institutions further push and pull students to study in the mainland. Finally, students showcase agency in pursuing cross-border HE by strategically responding to these infrastructural influences through individual push-pull factors. The findings implicate on the increasing convergence between Macao and mainland China under the Greater Bay Area (GBA) initiative, as well as its impact on the regionalisation of Chinese HE and Macao’s post-colonial transformation through intra-country cross-border student mobility. Insights into Macao’s context and unique HE system in relation to Chinese HE fill a notable gap. Future research can explore Macao students’ mobility experiences in more depth.
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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 | 0.001 |
| 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 it