Mobilising bodies: visceral identification in the Slow Food movement
Bibliographic record
Abstract
This paper introduces a visceral take on the role of identity in social movement mobilisation. The authors emphasise how identity goes beyond cognitive labels to implicate the entire minded-body. It is suggested that political ideas, beliefs and self definitions require a bodily kind of resonance in order to activate various kinds of environmental and social activism. The authors refer to this bodily resonance as ‘visceral processes of identification’ and, through empirical investigation with the Slow Food (SF) movement, they reveal specific instances of such processes at work. Examining SF in Halifax, Nova Scotia, Canada, and Berkeley, California, USA, the authors ask how SF comes to feel in the bodies of members and non-members and they interrogate the role that feelings play in the development of activism(s). Bodies are shown to both align with movements’ socio-political aims and (re)create them. The account provides a means for shifting recent social theoretical attention to bodied/material life to a broad application in political geography, political ecology and social movement theory.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 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".