Global Future: Low-Carbon Economy or High-Carbon Economy?
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
This study critically examines the decarbonization of development in the context of the Anthropocene at the global level. A literature review is conducted that emphasizes the rationality of human beings to harmonize with the planet due to the low capacity of their human agency in the framework of the Anthropocene. The analysis recognizes that the possibility of transitioning to a decarbonized global economy or zero carbon emissions is not encouraging. Global energy production and CO2 emissions are concentrated in a dozen countries: China, United States, Russia, Saudi Arabia, Canada, Iran, India, Australia, Indonesia, and Brazil. These countries are part of societies with an advanced social metabolism that negatively impacts the production of CO2. In context, the COVID-19 pandemic has provided some level of environmental health for the planet, but the CO2 reduction levels are still insufficient to consider a positive impact towards 2030.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.003 | 0.001 |
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