Bibliographic record
Abstract
Nearly one-third of the Scottish population is struggling to heat their home properly today. There is an urgent need for the delivery of low-energy affordable homes. However, the homebuilding industry has no systematic way to deliver such unconventional homes, although the UK government has set out a bold “green” target that all newly-built homes be carbon neutral by 2016. Accordingly, this paper explores the status quo of today's affordable homes being built in Scotland; and secondly, it extends the scope to the review of successfully commercialized low- to zero-energy affordable housing developments in Canada. This study emphasizes the significant impact of design choices on the delivery of low- to zero-energy affordable housing, including housing orientations and configurations; construction materials and systems, including renewable energy technologies; and internal planning, with due consideration to the time-related sun positions and the internal space day-lighting and heat gain potentials. In addition, the paper argues that the absence of clear definitions as to housing quality and affordability, and the lack of industry capacity for technical knowledge learning activities, are potential obstacles that limit the spread of sustainable zero-carbon homes in Scotland today. Moreover, the effect of the design charrette approach being practiced in Canada on the homebuilding decision making process was reviewed, with the aim of providing a base for further discussion on the applicability of Canadian low-energy affordable housing design techniques to sustainable zero carbon homes of the future in Scotland.
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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 | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".