Determining potential end of service life demolition waste of residential houses in Canada
Bibliographic record
Abstract
Construction and demolition (C & D) waste generation is identified as an environmental topic of concern globally. Canadian Construction Association (CCA), Natural Resources Canada (NRCan) and other researchers have identified wood waste as the key material to focus on in residential housing construction. With this point in mind, it seems prudent to identify waste generation at the demolition stage of houses. Two low-rise single-family detached houses were evaluated to determine their potential demolition waste generation. Wood, concrete, masonry (brick), gypsum and asphalt waste generation was measured, quantified and ranked accordingly. The results determined concrete had the highest waste generation potential representing around 60% (kg) at the demolition stage. The findings are contrary to the wood waste focus in residential construction. Therefore, the findings suggest more focus needs to be placed on concrete use in residential construction moving forward, as much as wood has been in most recent decades.
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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) | 0.001 | 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".