The Newfoundland Root Cellar: Adapting Passive Strategies for the New Corner Store
Bibliographic record
Abstract
Since the re-settlement programs and the cod moratorium in Newfoundland, rural residents have migrated en masse to urban areas. As they move to cities, their connection to food production is diminished as farms are abandoned and reliance on exported goods is increased. Newfoundland’s island condition has exacerbated the issue causing a shortage of fresh produce leading to significant health issues and a loss of connection to rural roots. The people who move to larger cities in Newfoundland are not only leaving their family homes, gardens, and root cellars, they are leaving their communities. Through this urban migration the next generation of Newfoundland is losing the collective memory of these deep, culturally rich practices: the Root Cellars that allowed them food security, community and sustainability. \n \nIn today’s era of climate crisis, skills that support food security, food storage, and passive energy use are ever-more critical and cannot be left in the past. This thesis aims to revive this collective community knowledge by reinterpreting the root cellar into a semi-urban building shared amongst the St. John's community. The all familiar corner store is a fixture in both small Newfoundland towns as well as the city of St. John’s. Acting as a community hub, the corner store allows for communities to gather in social exchange. However, corner stores are greatly disconnected to regional farms and local food supply throughout Newfoundland. By combining the strengths of both the traditional Newfoundland root cellar and the corner store, a new form of corner store can be designed to create a more sustainable, passive and community-based hub that centers around food security. This thesis project translates the root cellar into an existing corner store located in the heart of the city of St. John’s. The corner store root cellar becomes a place for passing down local food growing and storing knowledge.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".