The Living Room of Rural Communities: Rural Economic Development in New Tecumseth
Bibliographic record
Abstract
The landscape of rural southern Ontario is evolving as local governments are adjusting to accelerating rates of affordability, shifting demographics, and access to resources and labour. Paired with the COVID-19 pandemic, local governments have adapted to the shifts by re-evaluating plans and curating sustainable strategies to combat the unprecedented challenges. The support in downtown renewal strategies and business parks to revive the economic core of communities is reflective of increasing pressures to assist commercial spaces following the impacts of the COVID-19 pandemic. Regarding economic development following the COVID-19 pandemic, the pressures for communities to provide competitive, employable and attractive commercial spaces are being potentially reduced with a minimal pool of resources. The purpose of this project is to identify the role downtowns and business parks have within rural economic development and the post-pandemic environment. Specifically, this project highlights how the town of New Tecumseth and other southern Ontario communities have navigated the accelerating shifts in the responsibilities through policy, planning, and economic development. The town of New Tecumseth provides a unique case study that links rural, urban and agricultural heritage while building on literature provided about other communities in the region. The findings from the project can provide further insight in fulfilling a research gap in rural economic development in southern Ontario.
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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 | 0.000 | 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 | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".