The COVID-19 pandemic has thrown the SDGs into reverse: The financial sector can play its part in the recovery by excluding tobacco
Bibliographic record
Abstract
19 pandemic threatens to reverse decades of progress on poverty reduction, inequality, hunger, health, and education. It has described the pandemic as the worst human and economic crisis of our lifetime with the result that the UN's 17 Sustainable Development Goals (SDGs) are now even further out of reach 1 . It has called for 'political leadership, solidarity and unity' to overcome the crisis, and has expressly called on the private sector and financial institutions to ensure that every investment decision they make supports an inclusive and sustainable recovery and takes into account Social, Environmental and Governance (ESG) factors 2 . While the focus is often on the tobacco control measures that governments should and must take, the financial sector must also play its part to support a new type of economy -one which protects both people and the planet, and advances the SDGs.
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How this classification was reachedexpand
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".