Baukultur, Culture and Recreation-led Economic Development: The value of developing Sundre, Alberta’s qualities of living and place
Bibliographic record
Abstract
What are the most important factors related to economic development? This paper explores the essential variables necessary for destination development and inward direct investment. These variables include: quality of living, quality of infrastructure, and quality of workforce. Quality of living is considered the most important of these to spur on economic development. Many business operators would rather live where they invest making quality of place an equally important variable that is intrinsically linked to quality of living. Destination development through place-building techniques, informed by the concept of baukultur,is assessed using quality of living, economic development and economic diversification as markers. Quality of living and quality of place are inherently connected when attracting business and growing employment, therefore, these two terms will be referred to as QLP throughout this paper.. Intended to help program and policy planners understand these concepts, this paper will explore cases of successful exercises of destination development that involve recreation and culture-oriented place building. The paper will then look at how to apply learned QLP concepts toward a culture- and recreation-led economic development strategy for the small foothills community of Sundre, Alberta. Keywords: place building, quality of place, quality of living, baukultur, QLP, development, economic development, destination development, inward direct investment, creative class
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".