Emerging diasporas: Exploring mobilization outside the homeland
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
Abstract An enormous number of people are leaving their homelands around the world today. This has happened several times in the past, but migration has spiked in recent years. These population movements can have significant effects on both the host country (where emigrants or refugees settle), as well as politics back in the homeland. After they leave their homelands, why do some groups mobilize, and in what ways? In this article, we examine a number of factors that may impact when emigrated groups mobilize after they move. We develop a new dataset on potential diasporas in the United States to evaluate a series of hypotheses, including those about motivations for mobilization such as identity maintenance, the objective plight of co-ethnics in the homeland, and group capacity to mobilize. We find some merit in the identity preservation argument and a strong effect of geographic concentration of the diaspora segment. Surprisingly, diaspora mobilization does not appear to be strongly related to conflict in the homeland among these groups.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it