Bibliographic record
Abstract
The decision to migrate for educational purposes is often stressful, but for those leaving countries embroiled in major warring conflicts, the decision may be overshadowed by feelings of sadness, anger and loss. And for many, the ostensible purpose of migration - education, is overshadowed by the desire or need to leave for economic and security reasons. In such situations, migrants hope they can power through those negative feelings and emerge successful, and with familial honor intact. The narrative weapon used to defeat negative feelings are stories of pride and resourcefulness. In this study Yemeni students studying at a university in Guangdong Province, China were interviewed concerning their decisions to leave Yemen. Participants were between 20 and 30 years old: all were male. Most hailed from Aden or Sana’a or areas adjacent to those major cities and all aligned themselves with pre-1990 South Yemen, as described by their fathers. Narrative analysis revealed a striking similarity: stories of hopeful future redemption through economic opportunities found abroad. Indeed, participants revealed a consuming desire for economic success - an obligation that was energized by feelings of pride in being trusted with custodial duties of familial honor. The results are discussed qualitatively in terms of categorical content and episodic form. This study is limited in that it only includes Yemeni males aligned with pre-1990 South Yemen, and those who hail from Sana’a, Aden or nearby urban centers. Future studies should include women, and those who encompass wider political views and reside in rural areas.
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 | 0.000 |
| 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".