Environmental commitment and manufacturing excellence: a comparative study within Canadian industry
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
Abstract The development of an environmental policy represents the cornerstone of an environmental management system (EMS), an essential tool that helps companies both systematically manage their environmental obligations and risks, and promote these objectives throughout the entire organization. The implementation of such policies must rest not solely upon the development of specific pollution‐reduction programmes but also upon more encompassing issues dealing with the examination of existing management systems and work procedures. This paper presents the results of a study conducted in 250 manufacturing firms. It examines factors such as manufacturing policies and competitive positioning in their role as driving forces behind environmental commitment. The study's results demonstrate that environmental commitment is often linked to sound management practices. Good relations with both employees and suppliers, participatory management and total quality management programmes appear to be intimately correlated with the existence of an environmental policy. Copyright © 2001 John Wiley & Sons, Ltd. and ERP Environment
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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