The Implementation of Environmental Management Accounting and Environmental Reporting Practices: A Social Issue Life Cycle Perspective
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
While the pressure of legitimacy was found to greatly influence companies’ environmental reporting (ER) practices, being environmentally responsible however is not necessarily reflected through positive and descriptive environmental information. Unless companies begin to truly commit to upholding environmentally responsible, that is, to be accountable towards their business environmental impacts, the issue of incompleteness and incredibility of ER will remain topical. For companies to effectively measure and report their environmental performance, the implementation of Environmental Management Accounting (EMA) is essential as conventional accounting systems disregard the generation of environmental information. Using social issue life cycle theory as an interpretive lens, this paper aims to propose a theoretical framework to investigate the relationship between the extent of EMA implementation and ER practices.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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