The Psychology of Poverty: Current and Future Directions
Bibliographic record
Abstract
An emerging literature on “the psychology of poverty” suggests that the experience of poverty itself has psychological consequences, some of which may make escaping poverty more difficult. We synthesize the evidence base from both psychology and economics using an organizing framework comprising four sets of mechanisms: cognitive function, mental health, beliefs, and preferences. We discuss the strength of the evidence supporting both how poverty affects these four mechanisms and how these four mechanisms in turn affect poverty. As our review shows, the existing evidence has clearly established proof of concept that psychological factors exist in the experience of and response to poverty. However, there is still a lack of evidence on whether these effects are meaningful in magnitude and lead to the perpetuation of poverty. We conclude by summarizing promising future directions for research that could help close these evidence gaps, with important implications for the design of poverty reduction policies.
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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 | 0.020 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.008 | 0.020 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".