Bibliographic record
Abstract
In 1992, 1,700 of the world’s top scientists issued a public statement titled The World Scientists’ Warning to Humanity. They reported that “a great change in our stewardship of the Earth and the life on it is required if vast human misery is to be avoided and our global home on this planet is not to be irretrievably mutilated.” More than a decade later, the authors of the Millennium Ecosystem Assessment were moved to echo the scientists’ warning asserting that “[h]uman activity is putting such a strain on the natural functions of the Earth that the ability of the planet’s ecosystems to sustain future generations can no longer be taken for granted.” Ours is allegedly a science-based culture. For decades, our best science has suggested that staying on our present growth-based path to global development implies catastrophe for billions of people and undermines the possibility of maintaining a complex global civilization. Yet there is scant evidence that national governments, the United Nations, or other official international organizations have begun seriously to contemplate the implications for humanity of the scientists’ warnings, let alone articulate the kind of policy responses the science evokes. The modern world remains mired in a swamp of cognitive dissonance and collective denial seemingly dedicated to maintaining the status quo. We appear, in philosopher Martin Heidegger’s words, to be “in flight from thinking.” Just what is going on here? I attempt to answer this question by exploring the distal, biosocial causes of human economic behavior. My working hypothesis is that modern H. sapiens is unsustainable by nature—unsustainability is an inevitableemergent property of the systemic interaction between contemporary technoindustrial society and the ecosphere. I trace this conundrum to humanity’s once-adaptive, subconscious, genetic predisposition to expand (shared with all other species), a tendency reinforced by the socially constructed economic narrative of continuous material growth. Unfortunately, these qualities have become maladaptive. The current coevolutionary pathway of the human enterprise and the ecosphere therefore puts civilization at risk—both defective genes and malicious “memes” can be “selected out” by a changing physical environment. To achieve sustainability, the world community must write a new cultural narrative that is explicitly designed for living on a finite planet, a narrative that overrides humanity’s outdated innate expansionist tendencies.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.069 |
| Scholarly communication | 0.009 | 0.018 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".