And, I mean every word of it: Comments on Francis Dupuis-Déri’s “Global Protesters Versus Global Elite: Are Direct Action and Deliberative Politics Compatible ?”
Bibliographic record
Abstract
Focusing on how recent protests centered on global economic and environmental injustices can contribute to furthering deliberative politics and realizing deliberative democracy, Francis Dupuis-Déri examines the important and historical tension between force and persuasion. However, casting protest as legitimate in the framework of deliberative politics and as serving deliberative democracy obscures its own value in endeavors to achieve social, economic, and environmental justice. Being sympathetic to Dupuis-Déri’s work, I wish to make several, interrelated conceptual and practical clarifications in order to bring back to the fore the fundamental importance of protest, in terms of contributions not to deliberative politics and deliberative democracy but to public discourse.À partir d’une analyse de la manière dont les actions directes s’opposent aux injustices économiques et environnementales et peuvent contribuer à faire avancer et à réaliser la politique délibérative, Francis Dupuis-Déri examine la tension historique et importante entre la force brute et le pouvoir de persuasion. Cependant, le fait de chercher à légitimer la protestation dans le cadre de la politique délibérative et comme un moyen pour les fins d’une démocratie délibérative obscurcit la valeur propre des protestations pour réaliser la justice sociale, économique et environnementale. Étant sympathique aux travaux de Dupuis-Déri, je tiens à faire plusieurs clarifications conceptuelles et pratiques en vue de ramener à l’avant-scène l’importance fondamentale des protestations, en terme de contributions non pas à la démocratie délibérative, mais au discours public.
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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 | 0.007 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.015 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.034 | 0.035 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".