POLARIZATION OF THE POOR: MULTIVARIATE RELATIVE POVERTY MEASUREMENT SANS FRONTIERS
Why this work is in the frame
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Bibliographic record
Abstract
A major impediment to poverty evaluation in environments with a multiplicity of wellbeing indicators is the difficulty associated with formulating a poverty frontier in many dimensions. This paper proposes two multivariate relative polarization measures which, in appropriate circumstances, serve as multivariate poverty measures which do not require computation of a poverty frontier. As poverty measures they have the intuitive appeal of reflecting the degree to which poor and non‐poor societies are polarized. (The measures would also have considerable application in studying multivariate convergence issues in economic growth models.) The measures are exemplified in a poor–non‐poor country study over the period 1990–2005, based upon the joint distribution of per capita GNP and Life Expectancy. The results suggest that as a group, the world's poor are experiencing diminished poverty polarization; however, within the world's poor the African nations are experiencing increased poverty polarization.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it