Collective Emotions, History Writing and Change: The Case of the Pataria (Milan, Eleventh Century)
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 What are collective emotions and how should we deal with accounts of them in historical narratives? Addressing these questions through a case study of the movement of the Pataria in Milan (1057−1075), this essay reflects on some mechanisms used to assign collective emotions by authors of medieval narratives. It argues that while individual and collective emotions are not distinct in the Latin vocabulary of eleventh-century texts, the authors still had a clear idea of what we call collective emotions, which they closely linked to political mobilisation and upheaval. Although the assignation of emotions to public actors formed part of a rhetoric of denigration, the essay argues that one cannot understand public emotions in these texts solely as a rhetorical effect within what Ranajit Guha calls ‘the prose of counter-insurgency’.
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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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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