Bibliographic record
Abstract
An insider account of how researchers unraveled the mystery of the thawing ArcticIn the 1990s, researchers in the Arctic noticed that floating summer sea ice had begun receding. This was accompanied by shifts in ocean circulation and unexpected changes in weather patterns throughout the world. The Arctic's perennially frozen ground, known as permafrost, was warming, and treeless tundra was being overtaken by shrubs. What was going on? Brave New Arctic is Mark Serreze's riveting firsthand account of how scientists from around the globe came together to find answers.In a sweeping tale of discovery spanning three decades, Serreze describes how puzzlement turned to concern and astonishment as researchers came to understand that the Arctic of old was quickly disappearing--with potentially devastating implications for the entire planet. Serreze is a world-renowned Arctic geographer and climatologist who has conducted fieldwork on ice caps, glaciers, sea ice, and tundra in the Canadian and Alaskan Arctic. In this must-read book, he blends invaluable insights from his own career with those of other pioneering scientists who, together, ushered in an exciting new age of Arctic exploration. Along the way, he accessibly describes the cutting-edge science that led to the alarming conclusion that the Arctic is rapidly thawing due to climate change, that humans are to blame, and that the global consequences are immense.A gripping scientific adventure story, Brave New Arctic shows how the Arctic's extraordinary transformation serves as a harbinger of things to come if we fail to meet the challenge posed by a warming Earth
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".