The ghost of ice ages past: Impact of Last Glacial Maximum landscapes on modern biodiversity
Bibliographic record
Abstract
Modeled modern and Last Glacial Maximum (LGM) climate ranges for 47 genetically confirmed small Holarctic land snails documented profound landscape dynamism over the last 21,000 years. Following deglaciation, range areas tended to increase by 50% while isolating barrier widths were cut in half. At the same time, the nature of isolating barriers underwent profound change, with the North American continental ice sheet becoming as important in the LGM as the Atlantic Ocean is today in separating Nearctic and Palearctic faunas. Because appropriate modern climate occurs for these species throughout the Holarctic, with no clear barriers being present-especially for such efficient passive dispersers-the current >90% turnover observed between Eurasian and North American species pools appears at least in part related to the LGM landscape. Understanding current and predicting potential future biodiversity patterns thus requires consideration of the landscape template across at least 15,000 years time scales.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".