Building the sustainable organization through adaptive, creative coherence in the HR system
Bibliographic record
Abstract
Introduction “Without the private sector, sustainable development will remain only a distant dream. We now understand that both business and society stand to benefit from working together. And more and more we are realizing that it is only by mobilizing the corporate sector that we can make significant progress. The corporate sector has the finances, the technology and the management to make all this happen. The corporate sector need not wait for governments to take decisions for them to take initiatives”. – Kofi Annan, UN Secretary General, 2002 “More and more now we're looking at the concept of global sustainability, and what that means for the fundamental global drivers that are going to change the nature of our business. What implications is that going to have on us and our businesses, and how will we go about doing our business, in terms of closed systems and re-circulation systems and other sorts of things? And how can we impact some of the social problems facing the planet?” Canadian Manufacturing Executive, 2005 These words from United Nations Secretary General Kofi Annan and an executive from heavy manufacturing industry illustrate the growing alignment of global and organizational leaders regarding the potential for positive transformation in the relationship between business and society. Over the past decade, scholars in the field of organizational sustainability have identified significant opportunities for value creation by firms that pursue the goal of sustainable development (Hart 1997; Hart and Milstein 2003; Kurucz, Colbert and Wheeler 2008; Wheeler, Colbert and Freeman, 2003).
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".