Emotions and social conflicts: mobilisations against animal husbandry in Brittany, France
Bibliographic record
Abstract
Social conflicts have been largely studied according to their rational aspect, looking at arguments and strategies mobilised by rationally engaged actors. However, land-use conflicts over animal husbandry in Brittany have shown that a pre-reflexive element comes into play, motivating action before justification. Emotions are a ‘forgotten variable’ of individual and collective action that can be fruitfully grasped in a relational approach, as a component of any social relations. In this article, we propose a theoretical framework to understand the role of emotions in social conflicts. The focus is on situations where people engage in conflict rather than avoid it. We base our framework on Dewey’s account of emotions as a ‘disruption in routine’ and rational thinking as an effort to readjust. To fully grasp the dynamics of conflict, we also suggest that the processes of emotional revision, routine, trust and values are essential components of collective action in situations of conflict.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".