The impact of oil revenues on wellbeing in Chad
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 This paper uses two recent household surveys, together with data from the College for Control and Monitoring of Oil Revenues, to analyse the impact of oil revenues on wellbeing in Chad. Following a multiple-correspondence analysis to estimate a synthetic household-based multidimensional wellbeing (MDW) index, we used the difference-in-difference approach to assess the impact of oil revenues on average MDW at the department level. We found evidence that departments in Chad that received significant oil transfers have a higher MDW compared to those disadvantaged by the oil-revenue-redistribution policy. We conclude that, in order to promote economic inclusion, the government of Chad should better develop oil-revenue-redistribution policies according to local development needs and target the poorest departments.
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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 | 0.001 | 0.000 |
| 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