An investigation of corporate responsibility & sustainability goals in the Canadian commercial real estate and construction sector
Bibliographic record
Abstract
This thesis investigates the potential integration of leading Corporate Responsibility and Sustainability (CR&S) goals across selected Commercial Real Estate (CRE) firms, key anchor tenants, and construction companies within the Canadian market as they relate to office building assets. Current literature provides limited observations and analysis on CR&S within the CRE sector, particularly for the Canadian market. In order to address this gap and advance the principles of CR&S across the Canadian CRE sector, the research provides a comprehensive qualitative content analysis of publically available CR&S reports, along with interviews conducted with subject matter experts in the sector. Reduction of energy, water and waste consumption, along with associated GHG emissions have been identified as leading elements driving environmental resource management, which in turn is identified as the founding base for integrating CR&S goals across the Canadian CRE market. In addition to uncovering leading CR&S goals, the study identified market differentiators and regulatory compliance as key CR&S motivators, along with leading tracking and implementation measures for CR&S goals, and their associated internal and external barriers to integrating CR&S goals. Ultimately, the study provides an academic contribution in identifying environmental resource management as a base for CR&S integration across the Canadian CRE sector.
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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 | 0.002 | 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 | 0.001 |
| 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".