Steam? More STEAM! Using an architectural approach to preserve cultural knowledge in Sudbury, Ontario with a community sauna
Bibliographic record
Abstract
In many communities, cultural knowledge of communal bathing rituals have been \npassed for thousands of years. One of which is Finnish cultural knowledge of the \nsauna bathing ritual. In the 1900s, over 250 000 single origin Finnish people moved \nand settled in Ontario, Canada.2 \n However, with Finnish-Canadians, the gaps in the \ncultural knowledge has increased with subsequent generations. Today, Sudbury \nis still called home to over 7000 residents with Finnish heritage, however there \nare no community saunas operating within the city.3 \n These unsettling issues thus \nindicated that a thoughtful approach is needed to ensure the passing of Finnish \ncultural knowledge of the sauna continues; one that does not require users to \nhave Finnish heritage to benefit from the knowledge. This thesis proposes mixing \narchitectural concepts of traditional Finnish sauna building knowledge and design \nwith a community-built approach a design proposal that recognizes these issues and \nsupports the cultivation of the continuity of cultural 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".