Evolution of multidimensional energy poverty risk in Bolivia from 2005 to 2019
Bibliographic record
Abstract
"Energy poverty" is a multidimensional concept that reflects the need to achieve a variety of wellbeing outcomes, which has been scarcely studied and used in public policy agendas. Considering that the literature on energy poverty is still incipient in Bolivia, this paper's objective is to generate evidence about energy poverty evolution in the country, approximating measures of incidence (risk) and severity for the period 2005-2019. The methodological approach follows the one proposed by Alkire & Foster (2011), with five equally weighted dimensions (energy expenditure, lighting, cooking fuel and indoor pollution, food equipment, and education and communication) and using different cut-off options, at the urban and rural levels. Also, Multidimensional Energy Poverty results are compared with a Principal Component Analysis (PCA) based weight structure as a robustness exercise. Results show that the risk of being energy poor in Bolivia has decreased, but not structurally. Also, intensity has decreased in both urban and rural areas, but rural energy poor households continue to show at least 50% of deprivation in all dimensions evaluated.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".