Experiences of immigrant professors : cross-cultural differences, challenges, and lessons for success
Bibliographic record
Abstract
1. The Private and Professional Lives of Foreign-Born Professors: From Abstractions to the Practical. Charles B. Hutchison. 2. Foreign-Born Professors and Their Quests for Social and Psychological Home: Integrating Social, Cultural, and Professional Dimensions of Life. Amy Carattini. 3. A Portrait of the Life and Work of Expatriate Educators in Cambodia. Alexander Jun, Rebecca Hong, Curtis Cline, and Faith Fitt. 4. The Unusual Professors: The Experiences and Impact of Foreign Professors in Post Franco Spain. Alice Gail Bier and Louis Lemkow. 5. Conversations on Ethnicity, Adaptation and Belonging: Auto-Ethnography at the Base of the Ivory Tower. Marcia D. Nichols, Aminul Huq Bijaya Aryal, and Xavier Prat-Resina. 6. Voices From Behind the Scenes: How Foreign-Born English Teachers Find Their Place in the French Education System. Claire Griffin. 7. Challenges and Self-Efficacy of Female East Asian-Born Faculty in American Universities. Hyeyoung Bang. 8. The True Meaning of Integrity: Reflections on a Professional Life in Japan. Robin Sakamoto. 9.Moroccan Imams and the Girl Professor: Positionality and Epistemai in a Classroom-Based Cross-Cultural Exchange of Knowledge. Emilie Roy. 10. Not So Fast: Navigating the Complexities of Teaching in an American University as a Foreign-Born Teacher Educator. Eucabeth Odhiambo. 11. My Professional Teaching Experience in the USA, 1977-2014: The Case of an African-Born Immigrant. Peter F. B. Nayenga. 12. Negotiating the Trilogy of Black-ness, African-ness, and Accent-ness: A Native-Alien Professor's Tale. Obed Mfum-Mensah. 13. From Essential and Central to Constructivist Trenches: Navigating the Transnational Contexts of the Instructional Practice of a Foreign-Born Professor. Fonkem Achankeng. 14. Unpacking the Invisible Knapsack of African-Born Professor's Identity in the U.S. Academe. Michael Takafor Ndemanu. 15. Not an Easy Road: Journey of a Jamaican Academic. Leonie J. Brooks. 16. Almost American: The Challenges of a Canadian Professor Working in the United States. Scott Kissau. 17. Drained Brains: Canadian Professors in the United States. Dave Eaton. 18. Identity Construction of a Second Language Educator. Tanita Saenkhum. 19. My American Academia: At Home and Abroad. Mohanalakshmi Rajakumar. 20. ... come e duro calle / lo scendere e 'l salir per l'altrui scale - Musings of a Foreign-Born Philosopher in the American Academy. Lucio Angelo Privitello. 21. The Unified Voices of Immigrant Professors and Their Cross-Cultural Teaching Lives: Lessons Learned. Charles B. Hutchison.
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.
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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".