Auto-Bio/Ethnography as a Curriculum in Cross-Culture Communication: A Voice from the Other Shore
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In an increasingly globalized and multicultural world, authentic auto-bio/ethnographic travel accounts have become representations of the social, cultural, historical, and political intricacies in cross-culture communication. In this research study, I critically analyze three excerpts from my diary narrated in the form of short stories in order to answer two research questions: How do cultures shape our personalities? And, what factors influence cross-culture communication of the “Self” and the “Other?” I selected the Thematic Analysis method in Narrative Analysis to analyze my three narratives. The narrative analysis resulted in three themes: cultural identities, appearance and reality, and bridging the gaps. I argue that being an Arab, Muslim, female with hijab (hair scarf) in the U.S. after 9/11 creates a complex experience in cross-culture communication. I conclude that international students’ auto-bio/ethnography travel accounts can be implemented as a curriculum to celebrate our similarities and respect and appreciate our differences. Key words: Auto-bio/ethnography; Curriculum; Self actualization; Cultural agent; Hijab
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it