National Contact Point Peer Reviews: Canada 2023
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
The OECD Guidelines are recommendations addressed by governments to multinational enterprises operating in or from adhering countries.They provide non-binding principles and standards for responsible business conduct in a global context consistent with applicable laws and internationally recognised standards.The OECD Guidelines are the only multilaterally agreed and comprehensive code of responsible business conduct that governments have committed to promoting. ABOUT NCP PEER REVIEWSAdhering governments to the OECD Guidelines for Multinational Enterprises are required to set up a National Contact Point (NCP) that functions in a visible, accessible, transparent and accountable manner.During the 2011 update of the OECD Guidelines for multinational enterprises, NCPs agreed to reinforce their joint peer learning activities and, in particular, those involving voluntary peer reviews.The peer reviews are conducted by representatives of 2 to 4 other NCPs who assess the NCP under review and provide recommendations.The reviews give NCPs a mapping of their strengths and accomplishments, while also identifying opportunities for improvement.More information can be found online at https://mneguidelines.oecd.org/ncppeerreviews.htm.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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