Sojourning Educators at International Schools Overseas and the Covid-19 Pandemic
Bibliographic record
Abstract
The Covid-19 pandemic has jolted educational organizations and their stakeholders. Mobility between countries is a requisite feature at international schools, with students and educators shifting between home, host, and intermediary countries. Stakeholders are diverse in international schools, representing transcultural interests, giving rise to complex needs and considerations for school leadership. This article explores a subset of data from a study on educator acculturation in international schools that unpacks the effects of, and responses to, the pandemic by sojourning educators at international schools in Southeast and East Asia. Effects on students were not examined. Findings include adaptive responses, mobility barriers and role/school precarity, spikes in acculturative stress, and creative problem-solving. These effects have generated substantial leadership enigmas. Implications include an urgent need to activate adaptive leadership practices, including contingency planning and action research projects aiming at experiential learning from different stakeholder groups in international schools.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".