Equal, global, local: discourses in Taiwan's international medical graduate debate
Bibliographic record
Abstract
CONTEXT: With the globalisation of medicine, the role of international medical graduates (IMGs) has expanded. Nonetheless, the experiences of native-born IMGs remain under-researched. In Taiwan, public controversy has unfolded around IMGs educated in Poland, calling into question the meaning(s) of equality in policy and medicine. In focusing on the return of IMGs to their countries of origin, this study adds to the growing literature concerning equality and globalisation in medical education. OBJECTIVES: The primary research aim was to analyse how stakeholders in the IMG debate use equality in their arguments. The authors set out to frame the dispute within the recent history of Taiwanese medical governance. An overarching objective was to contribute a critical, historical view of how discourses of globalisation and equality construct different policy approaches to international medical education. METHODS: The authors performed a critical discourse analysis of a public policy dispute in Taiwan, assembling an archive from online interactions, government reports and news articles. Coding focused on stakeholders' uses of equality to generate broader discourses. RESULTS: International and domestic Taiwanese students conceived of equality differently, referencing both 'equality of opportunity' and 'equality of outcome' within localisation and globalisation frameworks, respectively. The dominance of localisation discourse is reflected in hostile online rhetoric towards Poland-educated IMGs. CONCLUSIONS: Rhetorical disagreements over equality in medical education trace shifting state policies, from earlier attempts to remove barriers for IMGs to the present-day push to regulate IMGs for acculturation and quality assurance. The global Internet had a double-sided influence, facilitating both democratic political mobilization and the spread of hate speech. The policy debate in Taiwan mirrors discourses in Canada, where IMGs are likewise conceived either as globally competent physicians or as lacking in merit and technical competence. Future research could investigate the discursive formation and evidential basis of policies regulating international medical education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.022 | 0.058 |
| Scholarly communication | 0.020 | 0.015 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".