Seasonal surface displacement derived from DInSAR, Rankin Inlet, Nunavut
Bibliographic record
Abstract
This map shows the relative ground surface displacement between the major terrain units during one summer in the area of Rankin Inlet. The ground displacement was derived using differential interferometric synthetic aperture radar (DInSAR) data for the summer of 2015. DInSAR data came from the Canadian RADARSAT-2 satellite which operates with a C-band SAR. Stable ground represents locations where either no vertical change was calculated or where displacement was within the expected range of error (± 1.0 cm). Downward displacement represents, in general, ground surface lowering (subsidence) on the order of 1.0 to 2.5, 2.5 to 4.0, 4.0 to 6.0, 6.0 to 8.5, and 8.5 to 14.0 cm. Other possible causes of apparent downward displacement could be associated with downward surface water table movement throughout the summer and sediment erosion. Upward displacement represents a surface rise of 1.0 to 5 cm, which is only 0.3% of the total coverage of the DInSAR map. Areas of no data result from a loss of interferometric coherence. These are typically water and other relatively smooth surfaces from which there is no radar return, or where there has been significant ground surface disturbance and the radar returns cannot be correlated.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".