The Body of Solidarity: Heritage, Memory, and Materiality in Post-Industrial Italy
Bibliographic record
Abstract
Abstract This paper explores the rise of “industrial heritage” and the forms of memorialization proliferating around it. The site is Sesto San Giovanni, Italy's “City of Factories,” which was also a bastion of communist mobilization and which is now bidding to be recognized on UNESCO's world heritage list. Sesto's bid is an attempt not just to recuperate and reinvigorate the landscape of Sesto's ruined factories and its massive, crumbling machinery, but also to capture and render visible and graspable the traces of what this built environment expressed and left behind—the sentiment of solidarity. I thus argue for an understanding of solidarity not just as an emotion or value, but as a structure of feeling mediated by specific material and corporeal forms, in bodies collectively inhabiting a built environment and rhythmically moving within and out of infrastructures and lived landscapes. Such a materialist conception of solidarity must account for bodies and embodiment, rhythm and refrain, as well as for how certain material forms allow for the generation of proximities, coordination, and likeness across difference. It means thinking of solidarity as an arrangement and assembly of bodies in time and space, and of these bodies and their movement as generative of political feeling and action. Based on ethnographic and archival research in Sesto San Giovanni between 2011 and 2013, I tell the story of the afterlife of a twentieth-century sentiment and its fate in an era that has rendered solidarity precarious.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".