Of bakeries and checkpoints: Stately affects in Amman and Baghdad
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 examines bakeries and checkpoints through their relationship to the state and connects considerations of affect with the burgeoning literature on infrastructure. Drawing on ethnographic fieldwork in Amman and Baghdad, we centre routine encounters at these sites and argue that infrastructural engagements ignite energies, desires and sentiments that are deeply implicated in how the state plays out in everyday life. We zoom in on these ordinary affects and unpack the situated histories of rule in which they emerge. In Amman and Baghdad, stately affects work in and through infrastructure, doing so with regularity and intensity, and at specific times and places. The state effect transpires and thrives through these quotidian affective resonances, not just in the realm of ideas and imaginaries.
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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 | 0.000 | 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