Cryosphere - Glaciers and Icefields - 2020 - Airborne Coastal Observatory - British Columbia - Canada
Bibliographic record
Abstract
The Airborne Coastal Observatory (ACO) is an aerial remote sensing platform used by the Hakai Institute to survey landscapes in detail. A Piper Navajo aircraft carries an array of integrated airborne mapping sensors installed to collect data in concert. The aircraft is operated and maintained by Kisik Aerial Surveys (Delta, BC). Glaciers and ice fields research is conducted throughout British Columbia, Canada. Sites are listed in the table below. The primary objective of the data capture is to monitor the spatial extent of glacier and snow pack over time. The primary researcher is Dr. Brian Menounos from the University of Northern British Columbia. Point density ranges from 1-12 points per square meter for these projects. Please contact data@hakai.org for more detailed project specifications. The following sites were mapped in 2020 by ACO: Columbia Ice Field, Castle Glacier, Zilmer Glacier, Nordic Glacier, Conrad Glacier, Yoho-Peyto Glaciers, Kokanee Glacier, Haig Glacier, Klinaklini, Place Glacier, Bridge Glacier, Illecillewaet Glacier, Mt Waddington, Lajoie + Bridge Glacier, Vancouver Island Glaciers, Garibaldi Park Ice, Mt Robson Prov. Park, and Joffre Provincial Park.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.016 |
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".