Introduction: symposium on Monique Deveaux’s <i>Poverty, Solidarity, and Poor-Led Social Movements</i>
Bibliographic record
Abstract
This symposium on Monique Deveaux’s Poverty, Solidarity, and Poor-Led Social Movements includes commentaries by Sally Matthews, Renante D. Pilapil, Violetta Igneski, and Wouter Peeters, with a reply from Deveaux. The book makes the case that normative thinking about poverty should engage closely with the aims, insights, and actions of poor-led organizations and social movements. Challenging conventional framings of poverty by moral philosophers, Deveaux argues that chronic poverty is centrally about the subordination and dispossession of the poor – not mere needs scarcity. To exclude people living in poverty from shaping antipoverty solutions is therefore to perpetuate their social-political domination and epistemic oppression. Deveaux’s book explains what a political reframing of poverty looks like from the vantage point of several poor-led organizations and social movements, using concrete examples from across the globe, and argues for political responsibility for solidarity with those movements.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.017 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".