The Okanagan Highlands: Eocene biota, environments, and geological setting, southern British Columbia, Canada and northeastern Washington, USA
Bibliographic record
Abstract
Climate change is a matter of concern to society, decision makers, and scientists. As part of the debate about the science of climate change, and in particular the extent to which current climate change is due to human activity or part of the natural variability of the global climate system, earth scientists try to understand how climates have changed in the past, and how past warming and cooling episodes affected the landscape and the plants and animals that occupied that landscape. It is also clear from the fossil record that past climate change has played a role in the evolution of animal and plant lineages, as well as plant and animal communities. Preserved in a series of lake deposits across northeastern Washington State, USA., to Smithers in north-central British Columbia, Canada, the Okanagan Highlands fossil deposits preserve a record of a time when the world was much warmer than now because of a naturally enhanced greenhouse effect, and the poles were ice-free and supported great forests. These sites are well known to fossil collectors for their beautifully preserved insects, fish, and plants. The Okanagan Highlands were an upland 50 million years ago, during the Early Eocene, and supported diverse forests swarming with insects and other animals that today are found in both temperate and tropical areas. The trees, shrubs, and herbs of these Eocene forests echo this pattern, including palms and bald cypress, together with spruce and birches. This special issue presents a series of papers that resulted from a symposium held in 2003 on the Okanagan Highlands that details the warm Eocene world of the interior uplands of northeastern Washington and British Columbia. Topics include reconstructing the landscape, biogeography, palaeoclimates, and fossil plants, insects, diatoms, and fish.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".