Bibliographic record
Abstract
Recent years have seen recurrent calls for bridging the “gap” between the worlds of policy-makers, practitioners, and academic scholars concerned with forced migration and humanitarian aid. This has resulted in growing partnerships between international organisations, governments, businesses, foundations, and universities with the aim of harnessing market economic thinking to create new practice-oriented knowledge rather than out-of-touch theories. This intervention responds critically to these developments and questions the seemingly common-sense logic behind attempts to forge ever closer collaborations across institutional lines. Rather than benefitting displaced communities, bridging divides has often served as a way of consolidating the hegemony of humanitarian actors and inadvertently delegitimized more critical scholarship. Scholars in refugee and forced migration studies have hereby been engulfed in a tightening “humanitarian embrace”. This paper argues that in order to fulfil a scholarly commitment to social justice, anti-violence and pro-asylum politics, it is time to again demarcate the boundaries between the practices and institutions that reproduce humanitarian power and their critics.
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 | 0.056 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.021 | 0.200 |
| Scholarly communication | 0.028 | 0.036 |
| Open science | 0.006 | 0.031 |
| Research integrity | 0.016 | 0.026 |
| Insufficient payload (model declined to judge) | 0.003 | 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".