Young Paleoclimate Scientists Meet to Broaden Knowledge and Build Ties: PAGES 1st Young Scientists Meeting: Retrospective Views on Our Planet's Future; Corvallis, Oregon, 6–7 July 2009
Bibliographic record
Abstract
Paleoenvironmental science provides important context for assessing ongoing and projected changes in Earth's climate and has informed research on central issues such as greenhouse gas variability, abrupt climate change, and ice sheet dynamics. Studies of the past have provided insight into natural climate variability at interannual to glacial/interglacial timescales and have fostered appreciation for a systems approach to global environmental change. As a contribution to the future of paleoscience, the Past Global Changes (PAGES) project, an international effort sponsored by the National Oceanic and Atmospheric Administration (NOAA) and the Swiss and U.S. National Science Foundations to coordinate and promote past global climate change research, convened its 1st Young Scientists Meeting (YSM) in July 2009, as an adjunct to the subsequent 3rd Open Science Meeting. Early career researchers were given the opportunity to broaden their knowledge base, build international and cross‐disciplinary networks, tackle emerging issues of concern to the paleoscience community, and learn about international science infrastructures.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.078 | 0.028 |
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".