Disaggregating Sustainable Transitions Through Power and Governance Arrangements in Municipal Enterprises: A Case Study of the Canmore Community Housing Corporation
Bibliographic record
Abstract
Abstract Housing is a key part of the sustainability discourse of any community. It can affect the recruitment and retention of workers and their families that, in turn, support the resilience of rural communities, businesses, and economies. The purpose of this paper is to examine the scalar dimensions of transition management to support socio-economic development and sustainable housing markets in small municipalities. Drawing from the case study of Canmore, Alberta, Canada, this chapter explores the power and governance dynamics that have unfolded through the municipality’s attempts to bring sustainability to its rapidly growing housing market, community, and economy. This endeavour is unfolding within complex and unclear statutory environments guiding the governance of municipal enterprises within the Province of Alberta. The research deepens our understanding of the governance processes guiding municipal enterprises, broadens our awareness of new approaches to sustainable rental and home ownership markets, and shares the use of community housing enterprises to support sustainable transitions with other municipalities in Canada and internationally.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".