Toward net-zero emissions: Constructing the nexus between housing systems and environmental outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Housing systems are key contributors to greenhouse gas emissions, yet environmental considerations have often remained peripheral in housing policies. In light of escalating climate challenges, this article proposes a heuristic framework to map the bidirectional relationship between housing systems and environmental outcomes. The framework shows how housing activities (e.g., construction) and attributes (e.g., size, location, price) contribute to greenhouse gas emissions and climate change, while climate change impacts housing systems. Based on this framework, the article uses recent Canadian initiatives as illustrative cases and discusses Canada’s strategies for decarbonizing construction, modifying housing attributes, and improving the connections between housing, infrastructure, and transport to move toward net-zero emissions. It highlights that significant challenges remain, including financial constraints, behavioral obstacles, and the potential exacerbation of social-spatial inequalities. The paper argues that achieving net-zero emissions requires housing policies to explicitly incorporate environmental objectives and advocates for multi-order collaboration for improving housing’s environmental outcomes.
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.
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 it