Climate change and refugee communities in Jordan: Critical reflections on neoliberal resilience-building
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 This article advances resilience theory by examining climate change responses and refugee experiences, and the perspectives of national, international, and refugee stakeholders in Jordan. Addressing climate change is crucial for all communities, particularly vulnerable groups like refugees and displaced persons, yet there are significant gaps in our understanding of how policies are made and implemented, and the performative roles refugees play. Thus, this paper: (1) analyses how different national and international stakeholders view policymaking that relates to refugees and their climate change adaptation and resilience-building needs in Jordan; (2) explores how refugees understand and experience climate change, and how they relate to policymaking and/or policy implementation processes; and (3) considers the extent to which the global tendency towards neoliberal resilience-building in refugee communities takes place in Jordan. We find that the Jordanian government considers refugees when formulating climate change responses. Conversely, international stakeholders adopt a nuanced, neoliberal approach aimed at fostering self-sufficient, resilient refugee agents who can adapt to climate change independently of state and international support. Finally, refugees residing in Jordan experience climate change through heightened vulnerability, insecurity, and exclusion from national response decision-making processes. We conclude that in the case of Jordan, it is ineffectual to adopt the neoliberal ethos underpinning ‘resilient’ refugees, and we call for further critique of the neoliberal resilience framework. Ultimately, we advocate for a post-neoliberal resilience model that recognizes the need for inclusion and integration between stakeholders at different levels to effectively address the climate change challenges faced by refugee communities.
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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 | 0.001 | 0.001 |
| 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