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
Abstract. Climate change awareness is floundering across the globe despite climate change education being embedded in international treaties to address the climate crisis – the United Nations Framework Convention on Climate Change (the UNFCCC) and the subsequent Paris Agreement. The Intergovernmental Panel on Climate Change (IPCC) acknowledges forces hostile to climate awareness and education – namely, climate denial sponsored by the energy-industrial complex. Climate change is studied by the physical sciences, but climate denial is the purview of the social sciences; the latter has revealed the why and how of climate denial. Climate-denial organizations (which directly deny aspects of the scientific consensus on climate change) and the related petro-pedagogy groups (which teach that oil is a benefactor to humanity, but say little about the connection of fossil fuels to the climate crisis) have arisen to attempt to interfere with the teaching of the science of climate change in school classrooms. These organizations were found in the United States, Canada, and some European nations (this review is mainly restricted to English-language sources). This review aims to (1) provide an overview of climate denial, promoted and funded by the energy-industrial complex; (2) identify and examine organizations involved in climate denial in schools; (3) summarize the strategies of climate-denial organizations in school classrooms; and (4) put forward recommendations for further research and action.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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