THE DESIGN AND EVALUATION OF SUSTAINABLE HOUSING FOR THE CANADIAN FAR NORTH
Bibliographic record
Abstract
The Canadian Arctic is a region of extreme cold, where, as the result of the high cost of shipping goods and fuel, building and operating housing can cost times more than in southern Canada. In addition, the arctic is home to a unique aboriginal culture that has survived for millennium in one of the harshest regions of the world. To address escalating heating costs and to bring greater cultural sensitivity into the design process, CMHC is working in partnership with First Nations and Inuit communities, and northern housing agencies to design, construct and monitor the energy performance and cultural acceptance of new northern housing prototypes. This paper will examine the design and development process undertaken for this project. It will describe the use of design charrettes, the design process used to produce house designs that compliment the life styles of Inuit and First Nations families, the designs that evolved from this process, and occupants’ insights and level of acceptance of the design. The paper will highlight the importance community involvement in the design process The paper will examine the challenges of constructing projects in remote northern communities. It will examine the design of the building envelope and the energy modeling carried out as part of the design process. The paper will include the initial results of the energy monitoring and the anticipated energy savings of the houses, illustrate important issues for designers working on housing in cold climates, demonstrate the use of new products and innovative construction methodology, and
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".