The Mesozoic Arctic: warm, green, and highly diverse
Bibliographic record
Abstract
The Arctic is disproportionately affected by current and forecasted anthropogenic climate change (ACIA, 2005). As a consequence, sensitive ecosystems are suffering from rapid and enduring changes in, for example, sea ice volume, permafrost stability, precipitation, sea surface and air temperatures, and biodiversity Long time perspectives can help us to better understand the response of high northern latitude environments to the consequences of climate forcing in the future. Sediment and bedrock archives can inform us of past conditions of climate, sea level, and fauna and flora that existed and even thrived in Arctic regions despite the long polar night. The Mesozoic Era, in particular, offers a view into the fascinating world of the past, when dinosaurs and diverse forests existed in polar regions during a time typically thought of as a climatic greenhouse. During the Mesozoic, atmospheric CO 2 concentrations were much higher than today, over 1000 ppm (as compared to the pre-industrial average of 280 ppm). Sea-surface temperatures may have exceeded 32C at 15-20N, while averaging 26C at 53S (Littler et al. 2011). Thus, looking to the past offers the potential for insight into what the planet may look like in the future if greenhouse gas emissions continue unabated.
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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) | 0.001 | 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".