Global Digital Sustainability: A Cross-Disciplinary Approach
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Meta-epidemiology (narrow)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Theoretical or conceptualConsensus signal: Theoretical or conceptual
- Genre
- Candidate signal: EmpiricalConsensus signal: none
- Teacher disagreement score
- 0.603
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.265 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
“Digital sustainability,” or organizational activities that promote the United Nations Sustainable Development Goals through digital means, has emerged as a vital area in management research. This study highlights how global firms and institutions can leverage digital technologies and digital intelligence to boost environmental sustainability on a worldwide scale, which I refer to as “global digital sustainability.” I emphasize the importance of transforming digital technologies into digital intelligence as a form of knowledge for organizations that nourishes sustainability and regeneration through three mechanisms: namely, (1) improving eco-efficiency, (2) promoting green consumption, and (3) guiding system orchestration. By adopting a cross-disciplinary approach, this essay conceptualizes the scalable aspects of digital sustainability, incorporating insights from knowledge management, environmental science, international business, and institutional perspectives. I suggest several approaches for policymakers and business executives in a broader organizational and institutional context to achieve digital sustainability and advance this important line of inquiry within the global sustainability transition.
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.
The record
- Venue
- Academy of Management Perspectives
- Topic
- University-Industry-Government Innovation Models
- Field
- Business, Management and Accounting
- Canadian institutions
- Western University
- Funders
- not available
- Keywords
- SustainabilityCross disciplinaryDisciplineBusinessEnvironmental resource managementEnvironmental economicsProcess managementEconomicsComputer scienceSociologyEcologySocial scienceData scienceBiology
- Has abstract in OpenAlex
- yes