Embracing uncertainty: rethinking migration policy through pastoralists’ experiences
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
Today there is a disjuncture between migration flows that are complex, mixed and constantly evolving and the emerging global migration governance paradigm that seeks to impose clarity, certainty, regularity and order. Addressing the gap between policies and realities, this article explores lessons for migration policy and governance from mobile pastoralists' experience. Using examples from human migration flows within and between Europe and Africa and insights from pastoral systems from India, Italy and Kenya, the article identifies important similarities between international migration and pastoral mobility. We focus on four interconnections: both international migration and pastoral mobility show multi-directional and fragmented patterns; both involve multiple, intersecting socio-economic, political, cultural and environmental drivers; both must respond to non-linear systems, where critical junctures and tipping points undermine clear prediction and forecasts, making social navigation and reliability management more useful concepts than risk-based prediction and control and finally for both uncertainty is not conceived of as a state of crisis but an inherent feature, pregnant with possibility and hope. Building on these four points, and drawing from pastoralists' experiences, we propose some methodological, practical and policy reflections for bridging the disjuncture between migration realities on the ground and global migration governance policies and discourses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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