Bibliographic record
Abstract
There is no doubt that the issue of environment has become one of the most important of our generation. Whether people contest global warming with passion or want to preserve planet Earth with the most radical methods, the issue generates ardent debates that leave no one indifferent. After having spent nearly four years at the International Energy Agency in Paris, Ralph E. H. Sims has recently returned to his position as Professor of Sustainable Energy and Director of the Centre for Energy Research at Massey University in New Zealand. He is also an IPCC (Intergovernmental Panel on Climate Change) Co-ordinating Lead Author for several IPCC reports covering energy supply, integration and transport. In an essay based on a solid knowledge of the environmental issues and written with a dose of imagination and a touch of humour, he offers his perspectives on a rather dark future for those who prefer the status quo and a brighter one for those who defend a vigorous action in favour of the environment.
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.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.016 |
| Scholarly communication | 0.018 | 0.016 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.006 | 0.017 |
| Insufficient payload (model declined to judge) | 0.032 | 0.010 |
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".