Proximity-Sensitive Relative Deprivation and International Migration Intentions
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
This paper aims to re-examine the relation between relative deprivation (RD) and international migration intentions when people demonstrate asymmetric proximity preferences towards higher-income reference individuals on the income ladder. We consider three cases: the conventional linear case, in which all comparisons with higher-income individuals have equal weight; the rising proximity preferences, in which individuals assign increasing weights to reference groups as they get closer on the income ladder; and when individuals are more sensitive to income changes of the far wealthier. We use Gallup’s individual-level survey data on 129 countries, between 2009 and 2017. We find that the international migration-RD relation depends on the proximity preferences along the income distribution and across risk-tolerance levels. The common wisdom that people migrate to enhance their relative positions is found robust only among the poorest and the more risk-tolerant populations, under different proximity preferences assumptions. This paper provides deeper understanding on how policies directed to reducing income inequality and poverty may impact migration outcomes in sending countries when the target population exhibits proximity-sensitive RD.
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 | 0.001 | 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 | 0.001 | 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