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
With the increasing complexities of a globalized 21st-century world, the growing power of industry clusters makes corporations important actors in designing sustainable development strategies. This thesis presents an applied case study at CB Richard Ellis (CBRE) as the company designed and launched its award-winning Sensible Sustainability platform. The research was conducted to determine how a large multinational company could create a business case for sustainability, and the results illustrate that value exists for firms engaged in sustainability initiatives. CBRE's initial no-cost and low-cost activities resulted in increased operational efficiencies and lower costs. Over the course of the research period, the company migrated toward its more strategic Planet Building strategy and has begun to merge its financials with an environmental and a growing social agenda that supports the Triple Bottom Line of transformative sustainability. As a result, the company is engaged with more diverse stakeholders in new markets and is realizing the benefits of increased brand reputation, improved relationships with more demanding clients, and increased market share and revenue
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) | 0.001 | 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