Bibliographic record
Abstract
“Agent-centered” approaches to global poverty insist that effective arguments for poverty reduction must specify the concrete duties of particular duty-bearers. This article takes up a recent, influential, version of this view, Thomas Pogge’s human rights-based argument for global economic reforms to reduce chronic deprivation. While signaling a welcome shift from the diffuse allocation of responsibilities common to much philosophical writing on poverty, I argue that Pogge’s approach too readily assigns to powerful institutions in the global North the role of devising and directing anti-poverty initiatives. In so doing, he overlooks the agency—actual and potential—of the poor themselves, as evidenced by poor-led political movements and poor-centered, participatory models of poverty reduction in development theory and practice. While agent-oriented approaches are right to focus our attention on structures that cause poverty, they ought not to assume that the powerful agents responsible for these are the only—or most appropriate—agents to lead the way to poverty reduction. Just as development organizations working in the global South have come to recognize that the participation of poor communities is critical to the success of development strategies, so should normative theorists writing about global injustice acknowledge the importance of the poor as active agents in poverty reduction efforts.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".