Biden Administration Pushes for Multilateral Cooperation and Domestic Action to Combat Climate Change
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 UN Intergovernmental Panel on Climate Change (IPCC) released a report scientifically establishing that "[c]limate change is already affecting every inhabited region across the globe with human influence contributing to many observed changes in weather and climate extremes." COP26 prompted the announcement of a number of climate-related pledges and declarations, including the U.S.-and EU-led Global Methane Pledge, and it culminated in the Glasgow Climate Pact. The conference's success in limiting global warming will depend on global leaders' willingness to follow through on the commitments they made. The Biden administration has announced administrative regulations aimed at decreasing U.S. emissions of methane and hydrofluorocarbons (HFCs) and has requested that the Senate advise and consent to ratification of the Kigali Amendment to the 1987 Montreal Protocol on Substances that Deplete the Ozone Layer. The administration is also awaiting congressional passage of significant funding for Biden's climate agenda, while moving ahead with executive actions focused on sustainability.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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