Bibliographic record
Abstract
The multifocal context of offshore schools may offer opportunities for cultural exchange and learning, but working in offshore schools cannot be reduced to the sole problematic of cultural shock. In a metaphoric sense, one has to be prepared for the good, the bad, and the odd. The chapter is based on a case study that explored the perceptions and stories of Canadian inspectors, principals, and teachers and the ways they reflect on their work experiences in offshore schools. Offshore schools offer a unique space of glocalization where two cultures and systems run in parallel. They converge when teachers and principals work together for the betterment of students but diverge when differing views and philosophies of education lead to tensions and frictions regarding curriculum, pedagogy, and the operation of the schools. Such divergence in ideology and worldviews towards education inevitably poses challenges for stakeholders who are deeply involved in the offshore school system. Hence, offshore schools become a site where the good, the bad, and the odd are powerfully entangled in ways distinctive of offshore schools, generating multifaceted sociopolitical, economic, and cultural dynamics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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".