Crisis Upon Crisis: Refugee Education Responses Amid COVID-19
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 study applies a critical political economy approach to understand the tensions, contradictions, and inequities that emerged when COVID-19 altered narratives and practices in education in emergencies, at the global policy level and within the local context of Syria refugee education in Lebanon. Through a vertical case study methodology, our research offers insights into a setting in which global organizations and actors sought to address the COVID-19 pandemic's impact on schooling, but under a significant broader context of multiple crises. Drawn from interviews conducted between October 2020 and February 2021, our data captures notions of “rupture” and “continuity,” underscoring amplifications in terms of systemic educational inequities. We focus on three key global narratives that emerged from the study, which when analyzed alongside insights from Lebanon, appear to be disconnected from how local actors experienced the pandemic. Our findings suggest that global narratives do not adequately account for the complexities of countries experiencing multiple crises, evoking questions around the capacity of international actors to understand and address multi-crisis environments in education. We discuss the implications of these findings for understanding and addressing power and equity in refugee education.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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