Understanding Intercultural Socialization and Identity Development of International Students Through Duoethnography
Bibliographic record
Abstract
This chapter looks at how two international PhD students (re)constructed and (re)negotiated their identities, and intercultural socialization through the sharing their personal stories and experiences. This chapter employed a duoethnography research methodology. Duoethnography is a collaborative research methodology in which two or more researchers engage in a dialogue on their disparate histories in a given phenomenon. The use of duoethnography allowed the researchers to revisit their lives as sites of research to determine how their different experiences and backgrounds informed the (re)construction and (re)negotiation of their identities in the face of multiple and competing identities and their subsequent participation in the new culture. Through this process, the researchers acted as the foil for the Other, challenging the Other to reflect in a deeper, more relational and authentic manner as they sought to achieve a balance between participating in a new way of life and maintaining their cultural and personal identities.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".