International News / Nouvelles Internationales
Bibliographic record
Abstract
ne Planet, Many People: Atlas of Our Changing Environment provides a comprehensive, visual presentation of scientifically verifiable information about changes in the global environment, shown through state-of-the-art remote sensing technology.A collection of 405 PowerPoint® slides divided into Regional and Thematic sets cover-ing 11 contemporary and dynamic themes -Introduction to the Planet, People and Planet, Atmosphere, Coastal Areas, Urban Areas, Water and Lakes, Forests, Cropland, Grassland, Tundra and Polar Areas and Extreme Eventsand six geographical regions -Africa, Asia and the Pacific, Europe, Latin America, North America and Polar Regions -can now be downloaded free of charge at www.na.unep.net/OnePlanetManyPeople/powerpoints.html.This presentation of environmental hotspots and issues is based primarily on satellite imagery taken over 30 years showing how human actions and geophysical activities have changed various parts of the world.Examples include
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.341 | 0.234 |
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".