The evidence of recent Canadian Arctic climate change: a case study, the Baffin Island
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.000 |
| 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 | 0.001 | 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 it