My Protest Body: Encounters with Affect, Embodiment, and Neoliberal Political Economy
Bibliographic record
Abstract
I have frequently justified my participation in the printemps érable by addressing the structural forces, including the politico-economic climate in Québec, the legacy of strike action by students in Québec, and the global neoliberal project. But as my fingers find patches of skin, once blue with abrasions and inflamed with anger, I wonder how I arrived at my class consciousness. In this paper, I explore my involvement in the Quebec student protest movement through a political economic analysis of the proceedings, but consider how the inclusion of affect and embodiment theory can build on our understanding of why and how people engage in political activism and social movements. By combining these approaches, what can we learn about the affected body and political dissent? This exploration of affect and embodiment in the context of neoliberal structures of power does not exist in a vacuum, but draws on a significant body of research that seeks to place the personal within the political, the subjective within the system. While affect and political economy are distinct types of theoretical questions that lead to specific theoretical outcomes, I am interested in how these approaches might play together, and coexist in one academic pursuit. As such, this autoethnography is an exploration in how, we can bring in to dialogue a political economy analyses with an analysis of my phenomenological and deeply affected experience of the protest movement, and the visceral and continuous existence of my class consciousness and protest body.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.047 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".