Bibliographic record
Abstract
Earth Rising: American Environmentalism in the 21st Century, by Philip Shabecoff. Washington, DC: Island Press. 2000. Hardback, 224 pages. $17.00. ISBN 1-55963-584-3. Environmental Science: Physical Principles and Applications, by Egbert Boeker and Rienk van Grondelle, New York: John Wiley & Sons Ltd, 2001. 362 pages. Paperback. $35.00. ISBN 0-471-49577-8. Greening School Grounds: Creating Habitats for Learning, edited by Tim Grant and Gail Littlejohn. Toronto: Green Teacher. 2001. 136 pages. Paperback. ISBN 0-86571-436-3. US$16.95. Environmental Education: A Resource Handbook, developed by Joe E. Heimlich. 2002. Bloomington, IN: Phi Delta Kappa Educational Foundation. 202 pages. Paperback. $22.95. ISBN 0-87367-834-6. Environmental Communication Skills and Principles for Natural Resource Managers, Scientists, and Engineers, by Richard R. Jurin, K. Jeffrey Danter, and Donald E. Roush Jr. 2000. Boston: Pearson Custom Publishing. Paperback. 195 pages. $39.95. ISBN 0-356-60833-4. Justice and Natural Resources: Concepts, Strategies, and Applications, edited by Kathryn M. Mutz, Gary C. Bryner, and Douglas S. Kenny. 2002. Washington, DC: Island Press. 368 pages. Paperback. $27.50. ISBN 1-55963-898-2.
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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.166 | 0.074 |
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".