The voice of the rural small town: how architecture can inspire locally grounded growth in Parry Sound, Ontario
Bibliographic record
Abstract
Many rural areas in Canada are financially dependent on tourism. There are negative effects of this dependency on the local working class as these small towns transition from tourism towards a community designed for an aging affluent population. Using Parry Sound as a case study, this thesis attempts to investigate how architecture could serve the neglected local working class by incentivizing investment in the local community rather than catering to seasonal tourism. Covid-19 also emphasized the gap in access to healthcare and lack of overall well-being, issues that the local community faced but the seasonal resident did not. This thesis found that a grounded design that amplified the voice of the local community would best aid their existing efforts to grow. Discussions with the local community organizations working in these areas provided the perspectives necessary to design an adequate program that would assist local grounded growth in Parry Sound. Through the lenses of housing, health, and food, architecture could support the existing network of community initiatives to achieve self-agency. A mixed-use design provides the necessary community spaces for these initiatives to foster a connection to people and landscape and achieve locally grounded growth.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".