Bear Hazard Assessment for the Greater Bragg Creek Area of Southern Alberta Prepared for: Alberta Sustainable Resource Development Prepared By: Aspen Wildlife and Environmental Services and
Bibliographic record
Abstract
The purpose of this report is to present the results of a bear hazard assessment prepared for the Greater Bragg Creek area. The intent of the assessment is to establish an overview of bear-human conflicts specific to the community while providing general recommendations for measures to reduce or eliminate these conflicts. Greater Bragg Creek is identified by the Province as a priority area for proactive bear management, where there is a pressing need to resolve bear-human conflicts. It has a history of conflicts with bears, many of which arise from the presence of unsecured attractants, such as garbage, compost, bird feeders, and livestock feed. The community is located at the approximate eastern extent of the range of both black bears and grizzly bears and has a relatively high density of black bears as well as a low but consistent number of grizzly bears. The area provides relatively abundant suitable habitat for both species, primarily in summer and early fall. Approximately 30-kms southwest of Calgary, Greater Bragg Creek includes the Hamlet of Bragg Creek, Townsite of Redwood Meadows and numerous acreages ranging from 2 acre parcels to large properties used for agricultural purposes. Rocky View County anticipates the human population of Greater Bragg Creek to increase from approximately 3,000 to over 7,000 residents in the next 20 to 30 years. The current waste management system is not bear-proof and requires that the majority of residents have temporary storage areas for their household waste on their property. Businesses in the Hamlet of Bragg Creek process their own waste by contracting-out waste transfer and
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| 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 | 0.000 |
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".