The Oxford Handbook of Business and the Natural Environment
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
Environmental issues now loom large on the social, political, and business agenda. Over the past four decades, corporate environmentalism has emerged and been constantly redefined, from regulatory compliance to more recent management conceptions such as pollution prevention, total quality environmental management, industrial ecology, life cycle analysis, environmental strategy, environmental justice, and, most recently, sustainable development. As a result, understanding the intersection of business activity and environmental protection has become increasingly complex, and there has emerged a focus in academic research on business decision-making, firm behavior, and the protection of the natural environment. This book reviews the state of the field as it grows into a mature area of study within management science, its achievements, and its future avenues of research. It brings together original contributions in the field along several lines of enquiry. The first six sections focus on disciplines as delineated in contemporary business schools: business strategy; policy and non-market strategies; organizational theory and behavior; operations and technology; marketing; and accounting and finance. The seventh reviews emergent and associated perspectives, whilst a concluding section discusses the future outlook for research.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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