Design and Operations of ArcticSat, a Passive Radiometer Cubesat for Northern Canada
Bibliographic record
Abstract
The Arctic communities of Canada have generational knowledge of sea ice passed down to ensure their safety. However, climate change has significantly impacted the livelihood of these communities, who rely on sea ice for travel, hunting, and fishing. While other satellite missions have been collecting sea ice data, ArcticSat strives to provide direct and fast data access for northern communities, particularly through co-development with the community of Chesterfield Inlet, Nunavut, Canada. This paper describes the design specifications and Concept of Operations (ConOps) for ArcticSat, a$10 ~\text{cm} \times 10 ~\text{cm} \times 30 \text{cm}$CubeSat carrying a passive radiometer in a polar orbit. ArcticSat will use a single reaction wheel to point the radiometer toward a ground target. The collected data will be downlinked to the C-CORE ground station in Inuvik, Northwest Territories. The mission's frequent passes over the ground station allow fast access to the sea ice data, which will be delivered to northern communities through SIKU, the Indigenous knowledge social network.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".