Four Decades of Scholarship on International Refugee Law: Future Directions for the IJRL
Bibliographic record
Abstract
We are delighted and honoured to be taking on the editorship of the International Journal of Refugee Law from Professors Jane McAdam and Geoff Gilbert, whose stewardship of the journal over the past decades has seen it develop into the leading peer-reviewed journal on all aspects of international law relating to forced migration. We will continue this great legacy through publication of rigorous legal scholarship and through furthering the trend of expanding the focus, authorship, readership, and editorship of the journal, as Professors McAdam and Gilbert have done so presciently over the past years. In this respect, we would like to take this opportunity to present the journal’s Editorial Board. The recent initiative of Professors McAdam and Gilbert to expand the Board is very welcome, and we look forward to working with colleagues old and new in the years ahead. A very warm welcome to new Board members Associate Professor Catherine Briddick, Associate Professor Yulia Ioffe, Dr Daniel Mekonnen, Professor Violeta Moreno-Lax, Dr Cristina Saenz Perez, Dr Nikolas Feith Tan, and Associate Professor Janna Wessels. A warm thanks also to our continuing Board Members Professor Catherine Dauvergne, Dr José H Fischel de Andrade, Dr Madeline Garlick, Professor Guy S Goodwin-Gill, Associate Professor Meltem İneli-Ciğer, Professor Maja Janmyr, Emeritus Professor Boldizsár Nagy, and Dr Marina Sharpe. We are also delighted that Professor McAdam and Professor Gilbert will remain on the Editorial Board, and that we will continue to benefit from their experience. And indeed, we would like to warmly thank them for their ongoing support throughout this transitional period for the journal.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.037 | 0.049 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.018 | 0.028 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".