The evidence of recent Canadian Arctic climate change: a case study, the Baffin Island
Bibliographic record
Abstract
The climate change evidence in Baffin Island is investigated by examining the North American Regional Reanalysis (NARR) model datasets. The yearly mean time series during 1948-2017 for near-surface air temperatures, vertical velocity at 700 hPa, precipitation rate and specific humidity show rapid changes during recent decade. This work shows the increase of vertical motion linked to the local instability intensification over the study area through past decade. The monthly anomalies of the near-surface air temperatures show regional warming in recent decade with the greater values during January and February. Surface albedo has been decreased mostly in the coastal boundaries especially in October around 10%-30%. The average precipitation has been increased during June, July, September and November mostly in the south of the Baffin Island region. However, during the months of April and May (except over the topographical areas in the south-east) the precipitation has been decreased respect to climatology mean values.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".