Bibliographic record
Abstract
Canadian cultural and consumer trends have established high household energy consumption rates, as compared to other first world nations. This study examines the correlation between cultural influence, occupant behaviour, and the resulting effectiveness of optional or mandatory energy efficiency strategies in Canadian homes. Energy efficiency has historically been approached from a design and construction perspective; however, monitoring and verification during a post-occupancy period has gone largely undocumented. Given the lack of data, the effectiveness of any policy or standard towards sustainability is difficult to quantify. In two case studies, located in Calgary, AB (Canada), the impacts of housing typology, construction methodology and occupant behaviour were researched to collect post-occupancy energy use data. The results of the first case study demonstrate a +300% variation in consumption rates when comparing same unit type, location, construction and solar photovoltaic array. A second case study examines a home designed to be Net-Zero Energy (NZE), which is coupled with renewable technology and subsequently monitored post-occupancy, then compared to modelled/ predicted loads. A third case, which strives to reduce both operational and embodied energy pre-and post-occupancy, is examined to illustrate the pre-occupancy energy required by various standard and alternative construction materials. This paper aims to provide context and validation of energy efficient design, construction, standards/codes, and in conjunction with occupant behaviour or cultural patterns of consumption. The results strive to identify which strategies may ultimately have more impact on national goals of energy efficiency and carbon reduction, and whether or not top down policy can be an effective way of managing energy use in households.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".