Bibliographic record
Abstract
Humankind's survival is threatened less by the "big bang" of nuclear warfare than by the banal but equally fatal "whimper" accompanying the destruction of our natural environment. Who is responsible for this war against nature? Why are we destroying the very basis of existence on this planet? In nearly every instance, we are all at fault. In part, the problem can be traced to the nature of our socioeconomic system. We are suffering from what might be termed a "global lifestyle disease". We have developed a rapacious economy that values little its effects on the natural environment. Until very recently, these effects were omitted from our economic measures and equations. Nature was an "externality" whose abundance and infinite resilience were taken for granted. We stand at an important juncture in our political development. We must appreciate and understand the significance of political changes if we are going to be successful in achieving progress in the three areas of sustainable development: economy, environment and social equity. The politics of sustainability is the politics of survival in the 21st Century.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".