River Morphology and GIS – An Analysis on the Usage of Geographic Information System Techniques in Post Project Appraisals for Stoney Creek, Burnaby British Columbia
Bibliographic record
Abstract
The Stoney Creek ecological restoration project in Burnaby, British Columbia, was undertaken to address concerns regarding the health of the creek and of the surrounding riparian ecosystem. A Post-Project Appraisal was conducted to assess the progress made following the completion of the ecological restoration project, and to address a knowledge gap pertaining to the geomorphology of the stream. Stream velocity and cross-sectional area data, as well as GPS points were collected at four locations on the stream, and a segment of the stream was mapped using a GPS. The data collected was processed in ArcMap 10 software, and used to produce three maps of the study site, as well as four velocity profiles. The velocity profiles obtained from this study may be used to further our understanding of slope stability in order to predict future changes in the geomorphology of the stream. Other possible uses of the data collected include assessing changes in planform over time and assigning an index of naturalness based on pre-anthropogenic disturbance model of the stream. Moreover, the data collected in this report may help engineers and city planners to predict landslides and debris flows that could be detrimental to the salmon habitat and to nearby infrastructure and roadways. Finally, maps and 3-D visualisations may provide a way for students in EVSC 205 to learn the spatial relations of the work sites from a top down view, and would be a relevant area for future research.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".