Bibliographic record
Abstract
Abstract International migration is arguably an important challenge and opportunity for the world today. In these two first decades of the 21st century, we are witnessing important changes in the direction of flows, the motivations of people on the move and the complex patterns of human migration. In addition, 2020 has brought an extraordinary and unexpected pandemic crisis, that has temporarily brought international migration to a standstill while further exacerbating inequalities and vulnerabilities of migrants and their families. This special issue finds its origins in the inaugural conference of the Canada Excellence Research Chair in Migration and Integration programme at Ryerson University in Toronto which took place in February 2020, while the COVID‐19 epidemic was being felt in China but was still believed to remain a regional and short‐lived challenge. As we developed our writing, COVID‐19 turned into a global pandemic pushing us also to rethink some of our considerations and arguments. The first set of papers aims to unsettle the main migration policy narratives and to critically engage with dominant views of international migration governance. The second set of papers focuses on the new complex realities of temporary migration, investigating critically policies and practices in different world regions, and how they compound vulnerabilities for migrants while failing to offer a sustainable way forward.
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.
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 | 0.001 |
| 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) | 0.002 | 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".