Bibliographic record
Abstract
While the twentieth century stands out in history for two world wars, numerous local wars, genocides, and political revolutions, there were little-considered developments that present us in the twenty-first century with even more menace. Because they have crept up on us slowly, instead of with the instant and obvious catastrophic effects of war and revolution, most of us tend not to notice them or to discount their effects. I refer to the environmental consequences of global warming, deforestation, soil erosion, the degradation of ocean fisheries, expanding populations, and inflated economies. Renée Hetherington confronts us with these present, if not clear, dangers, as well as with the risks of living beyond our means. She ranges from an intimate subjective point of view to a scholarly analysis backed with solid evidence. Her two-pronged approach to these problems arises from her knowledge of climatological history and from her belief that because economics and business are devoted to Darwinism and survival of the fi ttest , they are partly to blame for the failure to meet the growing hazards that are going to make the world a more dismal place in which to live. Following her argument that the dynamic stabilities of biological, political, and economic systems , which fi t into the Darwinist mold, tend to resist progressive change, she points out that they can only be disequilibrated by unpredictable natural catastrophe or by objective analysis and resolute action on the part of humankind. She tells us how natural disasters shaped the future of evolution, and she provides the objective analysis required for resolute action.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.070 | 0.030 |
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".