From Science to Governance: Understanding global warming controversies and politicization in nine dates
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
The current global warming context is being experienced by world populations through the extreme whether events, sea level rise, loss of biodiversity, increase rise of temperature, reinsurgence of climate-related diseases and important slow and sudden-onset environmental catastrophes enhanced or accelerated by climate change among others. In such context, the global community, supported by evidenced science research are relentlessly calling for urgent climate actions to avoid reaching the point of non-return. Unfortunately, despite the fact that our planet continues to be under such threats of irreversible climate destruction, a fraction of scientists and political leaders motivated either by their nostalgic attachment to the carbondriven developmental era or pushed by the fossil fuel industry and its influential capacity on decision-making processes and decision-makers, continue to develop negationist theories, with the aim of creating skeptical mindsets and maintaining some doubts in public opinions as far as the very fact of global warming and the role of human activities in the occurrence of
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 | 0.000 | 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) | 0.001 | 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