The Migration Intersections Grid: An Organizing Framework for Migration Research in and through the Twenty-first Century
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
For this special issue of the International Migration Review, we develop and provide a comprehensive organizing framework, the Migration Intersections Grid (MIG), to inform and guide migration research in and through the remainder of the twenty-first century. We motivate our work by conducting a high-level scoping review of summaries and syntheses of different directions of travel in migration research over time. Informed by these results, we then identify and describe 12 components that constitute the MIG, which, as we later discuss, is an interactive intersectional organizing framework. Finally, we illustrate the MIG's interactive intersectional nature by applying it to several areas of migration research where a comprehensive organizing framework of this sort is needed to address existing and emerging issues and questions now and in the coming decades.
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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 | 0.003 | 0.001 |
| 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 | 0.001 | 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