1 A Forum for Natural, Cultural and Social Studies A Forum for Natural, Cultural and Social Studies
Bibliographic record
Abstract
There is a growing consensus that the world is getting warmer and that, over the next century, this additional warming will have serious consequences for the global environment. As the planet warms, changes in average temperatures are expected to be greatest in the Arctic. By 2100, winters in the Canadian Arctic are projected to aver-age 5-8ºC warmer than they are now (Gov-ernment of Canada 1999), which may re-sult in a decrease in Arctic Ocean ice cover. While some northern fauna may benefit from such a change by exploiting new habi-tats, others, such as ringed seals and polar bears, may be in jeopardy because they are
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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 | 0.025 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.023 | 0.019 |
| Open science | 0.003 | 0.023 |
| Research integrity | 0.020 | 0.015 |
| Insufficient payload (model declined to judge) | 0.300 | 0.110 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".