Hunter Island Hauyat Village Site Elevation Point Data - British Columbia - Canada
Bibliographic record
Abstract
This dataset is a bare earth model of the Hauyat Site on Hunter Island, British Columbia. The project was led by Dana Lepofsky of Simon Fraser University, and was run in partnership with the Hakai Institute and the Heiltsuk Integrated Resource Management Department (HIRMD). Morgan Ritchie (morganritchie@yahoo.com) led a mapping team that collected 935 points with a total station in 2015. The goal of the 2016 mission was to fill in the total station data, as well as to fill out the "wings" of the site. The 2016 mission took place from June 4th-9th, 2016, at the Hauyat site on north Hunter Island. The Hakai Institute field team (Keith Holmes and Will McInnes), did an RTK GPS survey (with a Topcon GR-5 RTK setup). We set up a base station on "Plum Island", the island in the middle of the bay in front of the Hauyat site. We collected elevation points with the RTK, and we also collected burm/house features and rock locations. Because of the challenges of the site for a GPS system - dense trees and north facing - the RTK GPS could not obtain a fix in the back part of the site. We therefore also used a laser rangefinder to fill in some areas where there was no total station data and the RTK GPS could not collect points. The survey for all data collection types was set up in Nad83 UTM9N, based on the datum of the RTK GPS. The total station and rangefinder data was therefore corrected to fit with the RTK data. Contact data@hakai.org for access to data. Ensure Dana Lepofsky, dlepofsk@sfu.ca, is consulted before access.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.039 |
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; both teacher heads agree on what is shown here.
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".