Measure what matters: A blueprint for a sustainability culture diagnostic
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
While many recognize sustainability as a valid risk management tactic, some CEOs are facing opposition to their sustainability initiatives. Given this challenging environment, we argue that it is critical that CEOs successfully execute their sustainability agendas to avoid criticism. Unfortunately, the complexities surrounding the execution of sustainability initiatives make achieving good sustainability performance difficult. As such, this article makes two small but critical contributions to improving organizational sustainability performance. First, we argue that if CEOs want to improve their organization’s ability to improve sustainability outcomes, they need to start by measuring their organization’s sustainability culture. Second, we leverage an empirically validated innovation culture measurement model to operationalize a sustainability culture diagnostic tool that CEOs can use to measure their organization’s sustainability culture. Finally, we provide preliminary guidance on how CEOs can use the sustainability culture diagnostic to improve their organization’s sustainability culture and performance.
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 | 0.003 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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