Description of watershed outline and water depth survey datasets from Geraldine Lake - Iqaluit, Nunavut
Bibliographic record
Abstract
A watershed outline map, a bathymetric map, and water related statistics of Geraldine Lake, the Iqaluit water supply reservoir where produced following field work in Iqaluit during the summer of 2008. One objective of this initiative was to develop the technology for Nunavut scientists and to transfer the methodologies in communities where drinking water supply is at risk due to a declining supply and a changing climate. With support from Indian and Northern Affairs Canada (INAC), a small team of scientists from the Canada Centre for Remote Sensing (CCRS) are involved in a project to help characterize the water supply of Nunavut communities. This was a complex task involving the delineation of watersheds and estimation of the water volume of the supply lake for the community. To estimate this water volume, a bathymetric map was produced based on field surveys using a depth sounder equipped with a GPS. CCRS developed a low cost and easy to use technique to enable such depth surveys to be rapidly carried out. The technology transfer aspect of the activity was aimed to allow Nunavut professionals to produce lake depth maps with low cost and easy to use tools and software. The enclosed datasets were produced under the ''Enhancing Resilience in a Changing Climate Program'' of the Earth Sciences Sector, Natural Resources Canada. Thousands of depth survey points were acquired between July 25th and August 1st 2008 by CCRS scientists, Nunavut Department of Environment staff, and a teacher of the Nunavut Arctic College. Several large format image maps were printed and distributed to the Municipality of Iqaluit, the Department of Community and Government Services offices in all three regions of Nunavut, the Department of Indian and Northern Affairs, etc., and were presented at several venues. This document describes the digital dataset of Geraldine Lake provided to the Planning and Lands office of the Municipality of Iqaluit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".