Biodiversity Compliance for Businesses : An investigation into the regulatory implications of biodiversity on business
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
This thesis investigates the intricate relationship between biodiversity and businesses within the regulatory realm. The study will specifically look into new compliances imposed by international organisations such as The Kunming-Montreal Global Framework for Biodiversity, the Biodiversity strategy for 2030 in the European Green Deal and the upcoming Corporate Sustainability Reporting Directive. A meticulous literature review and thorough semi-constructed interviews were conducted and combined in the analysis. The research applies an Institutional theory framework and aims to seek the implications of institutional pressures. Furthermore, findings suggest collaboration and the use of external actors such as consultants are of importance in adaption. Challenges found highlight the need for standardised measurements, assistance to handle data and the lack of economic incentives. This study provides insightful findings in understanding how the current and upcoming biodiversity compliance affects businesses in Europe. Future research should focus on specific industry sectors, regions, and business sizes, investigate the dialogue between businesses and regulators, explore how businesses impact their external environment, and examine how they navigate new and unclear regulations.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| 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