Fossil fuels, climate change, and the COVID-19 crisis: pathways for a just and green post-pandemic recovery
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
A climate-positive COVID-19 recovery can accelerate the energy transition away from fossil fuels. Yet, current assessments of recovery stimulus programs suggest that the most fossil fuel producers are more likely to take on a ‘dirty’ recovery path out of the pandemic than a ‘green’ one. Such a path will postpone climate action and entrench fossil fuel dependence. To change course, fossil fuel producers have to get on board of a ‘green recovery’. For this, cooperative international efforts mobilizing both fossil fuel consumers and producers need to promote ‘just transition’ policies that increase support for a green shift among fossil fuel companies and producing countries, including fossil fuel exporters. In turn, fossil fuel producers should leverage the opportunity of stimulus packages to reduce their fossil fuel production dependence and help accelerate an energy transition through supply-side measures. A combination of ‘green’ investments and ‘just’ transition reforms could help enroll fossil fuel producers into a climate-friendly post-COVID recovery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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