Where is the Policy in Refugee Studies? Enhancing the Role of Policy Studies in the Study of Refugee Policy
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
Abstract Refugee and forced migration studies have long drawn on a range of disciplinary insights, yet the field of policy studies remains under-utilised. This article explores the intersection between public policy and refugee studies, arguing that greater engagement with policy studies can enrich the analysis of refugee responses. While research on refugee policy has expanded in recent years, most of this scholarship does not employ established theoretical or analytical tools from policy studies. As a result, many studies overlook how broader policy processes – shaped by actors, interests, and institutions – affect the adoption, evolution, and implementation of refugee policies. To address this gap, we propose the use of the public policy cycle model for advancing research, teaching, and analysis within refugee studies. The model highlights distinct stages in the policy process, providing entry points for researchers to engage with how refugee policies are made, contested, and institutionalised. Importantly, the framework is applicable at both domestic and international levels, making it a valuable tool for analysing national refugee responses as well as developments in global refugee policy, which remains understudied. By integrating policy studies more systematically, the field of refugee studies can better explain how refugee policies emerge and evolve across different contexts.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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