The Charlton community food hub: enhancing food accessibility in Charlton and Dack, ON
Bibliographic record
Abstract
This thesis examines how both architecture and agriculture can enhance food accessibility \nin Northeastern Ontario. Extensive research, case studies, and multiple site visits have uncovered both the needs of the communities and the solutions required to increase the \nregion's agricultural capabilities. Architectural responses within this thesis revolve around \nthree themes which include education, community, and technical design. With climate \nchange becoming an increasing threat to the rural life, this thesis also presents architectural \nand agricultural solutions that provide for a sustainable environment in an educational \nmanner. This final design proposal explores the redevelopment of an abandoned school \nand its accompanying site in the municipality of Charlton and Dack, ON. The adaptive-reuse \nproject transforms the school into a community space that serves as a multipurpose hub \ncentered around producing and promoting fresh and sustainable local food. It is through this \narchitectural proposal that the thesis is able to respond to local food accessibility in the region \nwhile promoting educational, communal, and technological values.
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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 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".