Bibliographic record
Abstract
This paper argues that ethical responsibilities in refugee studies have focused on fieldwork, yet ethics ought to be applied to the research problematic—the aims, questions, and concepts—as potentially implicated in the production of harm. Using an example from Tanzania, I argue that policy has largely shaped the language, categories investigated, and interpretive frames of refugee research, and this article advocates greater attention to historical and contemporary processes underpinning humanitarian principles and practices, and how they might contribute to exclusion and ontological anxieties among refugees in the Global South. By expanding our conceptualization of ethical responsibilities, researchers can better explore the suitability, and the implications for the refugee communities, of the approach that they have adopted and whether they contribute or challenge the and dehumanization of people seeking refuge.
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 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 | 0.400 | 0.343 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.025 | 0.134 |
| Scholarly communication | 0.025 | 0.022 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.015 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".