Equal Opportunity Sensitive Aggregate Wellbeing Measurement: Food Security and Basic Household Income on Sub‐Sahara African Farms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Equality of Opportunity and gender equality, key components of the UNs' Sustainable Development Goals and Inclusive Growth initiatives, require wellbeing measures that reflect the extent to which such targets are being achieved. From a measurement perspective, the Equal Opportunity literature distinguishes between inequalities arising from individual choice and inequalities engendered by circumstances beyond individual control, only the latter should enter the calculus. However, common metrics of socio‐economic inequality make no such distinction confounding different inequality sources and obfuscating potential intervention pathways. Using recent intertemporal data from family farms on four Zimbabwean and Tanzanian irrigation schemes, this study introduces and exemplifies new methods for measuring Equality of Opportunity multidimensionally within an overall wellbeing framework. Results indicate a deterioration in equality of opportunity in access to land, with an improvement in equality of opportunity in revenue generation, with the former outweighing the latter in a joint analysis resulting in a decline in overall wellbeing.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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