Benefit Sharing in Smaller Markets: The Case of Newfoundland and Labrador
Bibliographic record
Abstract
This case report describes recent efforts in the Canadian province of Newfoundland and Labrador to establish an appropriate benefit-sharing model for human genetic research conducted there. The relatively homogeneous population of this island province has proven to be attractive to the drug development industry. However, unlike large-scale national projects that include broad benefit-sharing arrangements from the outset such as those proposed for places like Iceland and Estonia, there are no plans in Newfoundland and Labrador to establish a large gene bank. Hence a benefit-sharing protocol that will assess individual genetic studies on a case by case basis has been proposed. The province is moving toward legislation to establish a Provincial Health Research Ethics Board (PHREB) that will ensure that all human health research conducted in the province receives local ethics review. The proposed benefit-sharing protocol calls for the establishment of a Standing Committee on Human Genetic Research (SCHGR) that will operate in concert with the PHREB and will ensure that research sponsors enter into appropriate benefit-sharing arrangements with the province.
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.
How this classification was reachedexpand
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 | 0.012 | 0.007 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".