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
Students at Benedictine University took an in-depth look at the effects of global warming. Columbia University’s, Dr. James Hansen was joined by WGN’s, Chief Meteorologist, Tom Skilling to discuss fossil fuel consumption and its direct impact on global warming and weather patterns around the world. “We have a crisis. We actually have an emergency. The danger is that we may hand young people a system that is out of their control, that we’ve passed tipping points at which changes will continue that are practically impossible to stop,” said James Hansen, Ph.D. As greenhouse gasses accumulate in the atmosphere, the earth retains more heat, causing extreme weather conditions, like droughts and flooding. It’s an issue that scientists believe will have a significant impact on agriculture, water supply and ecosystems. “If we stay on business as usual, by the end of the century, IPCC estimated that a quarter to a half of the species on the planet will be committed to extinction,” added Hansen. Dr. Hansen believes that there are viable solutions to these issues like a carbon fee and dividend as well as utilizing nuclear power across the globe, and advocated for the Citizen’s Climate Lobby; an organization dedicated to climate solutions through political power. Naperville News 17’s Rachel Pierson reports.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.127 | 0.005 |
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