Using ISO 14001 environmental management systems to manage for sustainability
Bibliographic record
Abstract
Corporations are a significant contributor to global unsustainability. Use of ISO 14001 environmental management systems (EMS) are considered logical, needed tools for use in meeting corporate sustainability goals. By paying attention to where users identify benefit and challenges and to what sustainability ‘looks like’ an existing system can be adapted effectively. EMS Enablers were considered in the development of a Sustainability Enablers Model, for use with an existing, effective EMS. Planning Enablers include ensuring alignment of leader values, an appropriately scoped policy, base principles upon which to set objectives and comprehensive aspects. Implementation & Operation Enablers include effective engagement and reporting and operating within a learning organization. The primary Checking Enabler is operating with a learning organization in support of an effective corrective action process. Management Review Enablers include effective use of data by the leadership team to improve performance and alignment of leader or organizational values in motivating changes.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".