Responding to poverty: centering the poor and reimagining the duties of the affluent
Bibliographic record
Abstract
In Poverty, Solidarity, and Poor-Led Social Movements, Monique Deveaux criticizes and reframes the traditional, moral (and often individualistic) response to poverty in favor of a political and collective one that centers the role of the poor and poor-led groups in the anti-poverty agenda. I have two aims in this review, a supportive one and a more critical one. On the supportive side, I examine the advances Deveaux makes by 1) expanding the category of agents of justice; 2) putting the poor at the center of an effective response to poverty; and 3) changing the emphasis from individual duties to a collective response. On the critical side, I revisit Deveaux’s critique of the traditional approach and argue that she unnecessarily shifts the moral burden away from the affluent whose complicity and capacity remain important grounds of obligation. In conclusion, I consider some remaining challenges that are (helpfully) exposed by Deveaux’s account.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.040 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 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".