Eat those Words: Flipping Understandings of Culture Shock Failure through Self-Leadership in Overseas International Schools
Bibliographic record
Abstract
The global demand for teachers outstrips its supply (Brummitt & Keeling, 2013; UNESCO, 2016). This article argues for a re-examination of the concept of failure in the context of educator acculturation overseas, and the self-leadership and school leadership actions that support teachers new to a host country. Oberg (1960, p. 177) first described culture shock as “an occupational disease” that can lead to sudden breakdown and departure. Culture shock with expatriate teachers overseas is inevitable (Roskell, 2013), and teacher turnover has been reported as high as 60% in some international schools (Mancuso et al., 2010). Since the onset of the pandemic, sudden teacher departures have risen sharply in some schools (Author1, in press). To mitigate the issue, strategic planning of K-12 international school leadership includes improving teacher retention. How a leader views failure matters and learning to fail intelligently can promote innovation and improvement in the longer term (Cannon & Edmondson, 2005). This article examines a subset of a qualitative study on educator acculturation involving 17 sojourning (between-culture) educators in 5 regions in Southeast and East Asia. Participants were found to utilize an arsenal of self-leadership strategies (Houghton et al., 2011) to mitigate acculturative challenges. Most of the participants recalled an early career sojourning experience that they described as shocking and stressful. Participants initially viewed their experiences as failures, however, participants described that these experiences led to beneficial outcomes: increased capacity for future overseas teaching experiences, evidenced by reduced acculturative stress (Berry, 2006). This widespread experience leads one to posit that the initial “fail” when coupled with self-leadership strategies, has a beneficial long-term effect. Better understanding of such experiences will help educational organizations harness the power of these failures by turning them into meaningful learning opportunities that guide the new sojourning teaching towards a successful career.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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".