Bibliographic record
Abstract
In celebration of World Environment Day on 3 June 2005 the United Nations Environment Programme (UNEP), in cooperation with NASA, the United States Geological Survey (USGS), and the University of Maryland launched One Planet, Many People: Atlas of our Changing Environment, a publication that provides visual evidence of environmental change using satellite images, graphics, and text.The focus is on the environmental status and trends over several decades, both in physical and human geography.The 332-page hardbound Atlas presents visual evidence of global environmental changes resulting from natural processes and human-induced activities.The Atlas demonstrates how our growing number of people and their consumption patterns are shrinking our natural resource base.The challenge is, how do we satisfy human needs without compromising the health of ecosystems?One Planet, Many People is an additional wake-up call to this need.Access the Atlas online at ‹www.na.unep.net›.Order your hard copy from ‹www.earthprint.com›.
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 | 0.005 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.135 | 0.059 |
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".