Socio‐economic Considerations in Biosafety and Biotechnology Decision Making: The Cartagena Protocol and National Biosafety Frameworks
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 Article 26.1 of the Cartagena Protocol on Biosafety left open the possibility for member countries to include in their biosafety regulatory processes the assessment of socio‐economic considerations. Countries may also decide to include such assessments as part of their national legislation or regulations for the approval and deliberate release into the environment of genetically engineered technologies. Countries are debating if and how to implement assessment of socio‐economic considerations. This paper contributes to the ongoing policy dialogue by discussing issues related to socio‐economic assessment including scope, timing, inclusion modalities, methods, decision‐making rules and standards, and the integration of socio‐economic assessments in biosafety and/or biotechnology approval processes. This paper also discusses the implications of such inclusion for technology flows and public and private sector R&D. If inclusion is not done properly, it may negatively impact technology flows especially from the public sector and render an unworkable biosafety system.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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