Learning through Upheaval: Strategies for Analyzing and Construing Emerging Sociopolitical Transformations in the Middle East
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 The irreducible complexity and singular unpredictability of the upheavals that have roiled the Middle East since December 2010 challenge analysts—from university students to policymakers—to grapple with irresolvable questions; this, rather than analysts' superimposing their own visions of what might constitute the upheavals' driving forces, and what will, or should be the outcomes of the regional turmoil. Drawing on strategies gleaned from teaching about the Arab uprisings, this article asserts that the uprisings may be collectively read as comprising a text that contains signs of indeterminacy pointing to many possible meanings and sources of meanings. Focus is placed on those signs that embody the differing discourses through which the Middle East upheavals are, have been, or can be represented and assessed; and the fluid, multidimensional forms of political identity that have contributed to the upheavals, and are being further reshaped, in their wake. By reading these signs with intellectual openness and humility, interpreters can achieve greater insight into the profoundly contingent and unforeseeable dynamics at work across the region.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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