A life cycle–based framework for environmental assessments of eco-entrepreneurship
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
In the 1930s, chlorofluorocarbons (CFCs) were developed as safe, non-reactive alternatives to toxic and explosive refrigerants and propellants such as ammonia, chloromethane, and sulfur dioxide. American engineer Thomas Midgley famously demonstrated these properties by inhaling Freon (CFC-12) and blowing out a candle with it. He was presented with many awards for his discoveries, such as the Perkin, Priestley, and William Gibbs medals. In today's jargon, CFCs might have been called an eco-innovation, because they provided solutions to several environmental issues. However, CFCs solved environmental problems by creating others. In 1974, Sherwood Rowland and Mario Molina published their pathbreaking research that demonstrated CFCs were depleting the ozone layer. In 1989, the Montreal Protocol, which regulates a global phaseout of CFCs, entered into force. A few years later, in 1995, Rowland and Molina received the Nobel Price in Chemistry. The new substitutes for CFCs, hydrofluorocarbons (HFCs), have no known effects on the ozone layer but are extremely potent greenhouse gases (GHGs) and thus subject to the Kyoto Protocol.
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) | 0.001 | 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) | 0.000 | 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