International Migration and Rural Areas: Cross-National Comparative Perspectives
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
While immigrants are still predominantly choosing urban areas to locate to, there is now increasing evidence of immigration to rural areas which poses its own challenges for those relocating, from the scarcity of high quality jobs to the provision of public and private services. Addressing the shortcomings in current research, this book employs an innovative approach by exploring this relationship from a cross-national, comparative, global perspective. It draws lessons from case studies across a range of geographical and political contexts, including Canada, the USA, Ireland, Scotland, Greece and Russia. Bringing together migration experts from a range of academic disciplines, International Migration and Rural Areas contributes to conceptual developments and also identifies policy concerns which can be pursued at national, sub-national and supra-national levels. As such, it will appeal to policy makers, as well as scholars across a range of disciplines, including geography, politics, demography, social policy, sociology and anthropology.
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 | 0.000 | 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 it