Decentering the Study of Migration Governance: A Radical View
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
This paper argues in favour of a radical de-centring of our understanding of international migration governance that privileges the viewpoints of origin and transit countries, non-state actors and includes both urban and rural perspectives. Building on the contributions to this Special Issue, I propose a plural understanding of governance and elaborate on the different dimensions along which we can de-centre our understanding of the governance of international migration (and of the related political and policy discourses). The paper starts by discussing the 21st century context within which migration governance is inscribed and proposes a working definition of de-centring and pluralizing our understanding of migration governance. I then introduce the multiple ways in which we can think of this de-centring: along a geopolitical approach that gives primacy to the role that countries play in migration processes; along a spatial approach (views from the city vs views from rural areas); or with reference to the actors involved (state, civil society, private sector, migrants and their households). The paper concludes by discussing the importance of such radical de-centring for our thinking and speaking about migration.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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