Social Sustainability and Community Development Practices: The Banff Centre for Arts and Creativity
Bibliographic record
Abstract
Abstract The following is a case study of the Banff Centre for Arts and Creativity in Alberta, Canada. The Banff Centre for Arts and Creativity (Banff Centre) is located within the unique setting of the land known as Banff National Park, the first national park established in Canada (Parks Canada, 2018). Banff National Park lies within the traditional territory of the Treaty 7 First Nations, part of Canada’s larger Indigenous population who have been subjected to centuries of racism and exploitation by European settlers and their descendants. Truth and reconciliation policies and processes have received increasing attention in Canadian society, although actual practices often fall short of these principles.An aspiring leader in arts and creativity, the Banff Centre goes beyond its educational programming to engage in community development activities which support the United Nations’ Sustainable Development Goals (SDGs) and the principles of the United Nations Declaration on the Rights of Indigenous People (UNDRIP). The Banff Centre hosted a Truth and Reconciliation Summit in 2016, and followed up this summit with ongoing speaker series, strengthening relationships between locals and Treaty 7 First Nations who have lived in the area for thousands of years. VIU logo WLCE logo Information Vancouver Island University World Leisure Centre of Excellence © C.S. Collishaw, 2021
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.046 | 0.022 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".