PLANT‐LEVEL ENVIRONMENTAL MANAGEMENT ORIENTATION: THE INFLUENCE OF MANAGEMENT VIEWS AND PLANT CHARACTERISTICS
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
As customers, the public and other stakeholders are increasingly demanding that manufacturing firms improve their approach to environmental management, some plants have moved to develop an orientation that is increasingly proactive. Synthesizing earlier research, environmental management orientation is defined here to include system analysis and planning, organizational responsibility, and management controls. The relationship between a proactive orientation and two sets of internal factors, specifically the personal views of plant managers and plant‐specific characteristics, was tested using survey data from the furniture industry. The production outlook for the plant was critical, with a favorable outlook fostering a more proactive environmental management orientation. After controlling for plant‐specific factors, personal views also were influential; an increasing emphasis on short‐term economic value was related to a more reactive plant‐level orientation. Thus senior corporate management can foster strong plant‐level environmental management through a more balanced emphasis on economic and ethical values and continued investment in a plant's long‐term viability.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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