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
The journey towards a sustainable world is our greatest challenge. This book includes reports, analysis, and discussion of cutting-edge approaches to incorporating sustainability importantly in the mix of organizational strategic elements. It includes examples of “zero-footprint” production facilities, leveraging environmental and social opportunities by projects, examining theories of excellence in sustainability through appreciative inquiry, social entrepreneurship, closed-loop supply chain management including reverse flows of products returned by end users, using triple bottom-line measures of success implemented in various societal and political contexts, implementing environmentally positive green technologies, new visions for making sustainability sustainable, and innovations in diffusing learning throughout an organization’s web of stakeholders and admirers. Examples and cases are drawn from business, government, and not-for-profit sectors and intra and inter-sectoral partnerships in the US, Canada, Australia, the Philippines, and Spain. Notable focal cases include the airline industry, with its emerging space-rich aerotropolises as potentially sustainable communities and higher education.These are at times supported by interviews that bring into focus positive learning experiences and high-point stories.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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