Produced by Circumpolar Conservation Union In cooperation with Alaska Community Action on Toxics
Bibliographic record
Abstract
Alton Jones Foundation, and the many individual donors to the Circumpolar Conservation Union who have made this work possible. This report could not have been produced without the hard work of many people whose generosity of time and effort is greatly appreciated. Our valued cooperation with and support from Alaska Community Action on Toxics brought to us a large number of materials analyzed in the report that otherwise would not have been obtained; Mary Grisco and Pamela K. Miller in particular have our special thanks for their research and editorial contributions, as well as to Amy D. Kyle and Tammy Moore for preliminary work. Our immeasurable gratitude goes to the team at Encompass Data and Mapping for their creativity, analysis and cartography; and for Sharon Rudolph’s eagle eye and tenacity in helping to keep track of those pesky critters on the marine mammals table! Many individuals, too numerous to acknowledge separately, from agencies, universities, and other organizations, were also most generous in returning phone calls, sending emails, and providing documents, and we thank you all; your help was critical. Particular thanks goes to Kris Engberg and PrimeSynergy, Inc., for their patience and assistance in the preparation and production of the report. Throughout it all, Iva Kaufman has been a prime mover and invaluable friend. And we extend our hopes and dreams for a healthy Earth to Lin Kaatz Chary’s incredible daughter, EllaRose, who put up with weeks of inadequate attention with remarkable grace and who, along with other future generations of children, makes it all worthwhile. The full report and map are available at our Web site, www.circumpolar.org, thanks to Lars Kullerud, at United Nations Environment Program’s GRID-Arendal in Norway, and to the artistry of Kristen Kemerling of Anchorage, Alaska, and Robin Hastey and Iva and Howard of
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.332 | 0.124 |
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".