Bibliographic record
Abstract
Based on international data, nowadays, one of the every thirty-five people is living away from his/her homeland. In this respect, the United Nation has called current century an era of greatest human displacement in the history. In the last decades Iran was one of ten top migrant's receiver and sender society. Although there is no precise statistics about Iranians abroad, but according to formal speech, three-five millions of Iranians are dispersed around the world (Diaspora). Thus, studying those social problems by local researchers of social sciences is quite essential, because most of internal researches related on motivations and tendencies (potential immigrants), with a general focus on elites. There have been few studies on the Iranian immigrants and their social issues. This research employs Mixed Methods that integrates questionnaire, narrative interviews, observations, and participant observations. This paper mainly focuses on social problems of Iranian immigrants in Sweden, including employment, marriage, divorce, promoting education after immigration, immigration timing and reasons, satisfaction of life (family, income, and job) and immigrant's attitudes about the behavior of the host society toward them, adaptation, feeling as outsiders, and willingness to return to homeland.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".