A MIXED METHOD TRADITIONAL KNOWLEDGE STUDY OF COASTAL FACTOR CORRELATION TO DECLINING SEA ICE IN RESOLUTE BAY, NUNAVUT
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
Canadian Arctic environments suffer severe consequences from global climate change. As sea surface and air temperatures rise, sea ice extent and thickness continue to decline, resulting in longer ice-free seasons. Due to the remote nature of Canadian Arctic communities, there are limited quantitative data available for calibration of predictions. However, local Inuit hunters, trappers, and elders hold a plethora of knowledge on the sea ice and coastal environment within their communities. This study seeks to answer the question, can coastal factors be correlated to declining sea ice through scientific and traditional knowledge methods. The present study examined (1) historical trends in, (2) lived experience and traditional knowledge of, and (3) correlation between, sea ice and the coastal environment in Resolute Bay, Nunavut Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it