on the storms passing over southern Baffin Island during autumn 2005. Arctic 61:309–321
Bibliographic record
Abstract
ABSTRACT. Although strong storms affect all regions of the Arctic, little research has focused on the details of their structure and evolution—particularly of the storms passing over southern Baffin Island. Such storms form in a variety of locations and often occlude before passing over the region. To study these storms, a field project was conducted at Iqaluit, Nunavut, in the eastern Canadian Arctic in the autumn of 2005. We launched rawinsondes into six storm systems and made detailed measurements that included ice crystal structure and snow accumulation. The storms had quite different histories: some produced strong winds; some produced snow, while others produced rain and freezing precipitation; and three led to record-breaking temperatures. The types of precipitation particles varied greatly, but aggregates and rimed particles dominated. When comparing the six storms, we found numerous similarities between the surface and the vertical atmospheric conditions, but there were also distinct differences. Key words: eastern Canadian Arctic, autumn storms, synoptic conditions, precipitation, rawinsonde profiles RÉSUMÉ. Même si de mauvaises tempêtes s’abattent sur toutes les régions de l’Arctique, peu de recherches ont été effectuées pour connaître les détails de leur structure et de leur évolution, plus particulièrement en ce qui a trait aux tempêtes qui passent dans la région sud de l’île de Baffin. Ces tempêtes se forment dans divers endroits et souvent, elles se ferment avant de passer dans la région. Pour étudier ces tempêtes, des travaux ont été effectués sur le terrain même à Iqaluit, au Nunavut, dans l’est de l’Arctique canadien à l’automne 2005. Nous avons lancé des appareils de radiosondage-radiovent dans six tempêtes et avons pris des mesures détaillées portant notamment sur la structure des cristaux de glace et l’accumulation de neige. La formation des tempêtes était très
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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 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".