Bibliographic record
Abstract
We are the only species that uses fire. It has determined how we have made our home on this planet and it has propelled us to the role of the dominant species in the biosphere. But at the heart of contemporary climate change is the process of combustion. Simon Dalby explores what a life without burning things might look like, and how we might get there. Fires make the carbon dioxide in the atmosphere that is heating the planet, melting the ice sheets, changing weather patterns and making wildfires worse. Our civilization is burning things, especially fossil fuels, at prodigious rates. So much so that we are now heading towards a future 'Hothouse Earth' with a climate that is very different from what humans have known so far. By focusing on fire and our partial control over one key physical force in the earth system, that of combustion, Simon Dalby is able to ask important and interesting questions about us as humans, including different ways of thinking about how we live, and how we might do so differently in the future. Simply put, there is now far too much 'firepower' loose in the world and we need to think much harder about how to live together in ways that don't require burning stuff to do so.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.117 | 0.055 |
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".