Mystery Creek Aerial Photo and LiDAR Survey - 2025 - Airborne Coastal Observatory
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
As part of the Natural Hazards and Climate Change Geoscience Program at Natural Resources Canada (Geological Survey of Canada), the Hakai Institute has partnered with the GSC to provide high-resolution LiDAR and aerial imagery with the purpose of providing baseline geoscience information to stakeholders and decision-makers. The Mystery Creek survey represents an add-on to the Indian River survey, which was also conducted in 2025. The Mystery Creek study area is situated north of Whistler and south of Pemberton, within a region of significant geohazard interest. This site is an area of interest due to the presence of a prehistoric rock avalanche deposit, a feature the GSC has been actively studying through surficial geology assessments and landslide inventory mapping. The GSC previously had access to provincial LiDAR data covering the deposit area, but lacked data of the head scarp, with this survey being flown at their request to fill this data gap and support ongoing hazard analyses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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