Being, Becoming, and Belonging:Exploring Hong Kong-Chinese Students’ Experiences of the Social Realities of International Schooling
Bibliographic record
Abstract
This chapter considers the lived schooling realities of ten Hong Kong-Chinese international school students. It uses data from a mixed-method PhD study undertaken to understand better student engagement within the international schools in Hong Kong. This research agenda arises from professional experiences in France and Hong Kong as an international school teacher-administrator and from scholarly understanding developed as a graduate student in the United Kingdom and Canada. The specific research interest stems from concern about the ways in which international schools seem to “look after the interests of some more privileged social groups better than [they] look after the interests of some other sociocultural groups.” Though all schools ought to respond to the voices of the diverse range of people, the chapter believes that private schools, in particular, many of which are part of the international education arena, have an even greater duty and opportunity to achieve the twin aims of inclusivity and excellence.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".