Towards a truly sustainable future and a high quality of life for all people on our planet: the role of the Earth Sciences
Bibliographic record
Abstract
We are living in a new period of earth history.I was impressed by the writing of Vladimir Vernadsky, 1929, in his book The Biosphere.He said we were in a transition to a new geological era which he termed the psychozoic era.As he stated, mankind as a whole would become a new and powerful geological entity able to transform the planet.I very much liked the words of Sir Crispin Tickell in his British Association lecture of 1993 "I was recently asked if I was an optimist or pessimist.The best answer was given by someone else.He said that he had optimism of the intellect but pessimism of the will.In short, we have most of the means for coping with the problems we face, but are distinctly short on our readiness to use them.It is never easy to bring the long term into the short term.Our leaders, whether in politics or business, rarely have a time horizon of more than five years".I have been fortunate that I have walked in over 60 nations.When you walk you see, smell, the problems and you meet people of all types.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".