A life cycle–based framework for environmental assessments of eco-entrepreneurship
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".