The Tunnel at the End of the Light? A Critical Analysis of the Development of the Tri-Council Policy Statement
Bibliographic record
Abstract
Abstract In 1998, the three major government funding councils put in place the Tri-Council Policy Statement (TCPS) to regulate all research involving humans in Canada conducted at institutions funded by the councils. This article examines the process of developing the TCPS, a historic and very important document in Canada's research ethics landscape, and the application of the democratic values of legitimacy, transparency, representation, accountability, and community engagement in that process. The authors argue that efforts were made to ensure basic democratic values in the process but that these attempts should have been taken farther. This examination is a timely exercise in light of the new draft now being prepared to replace the current version of the TCPS. The authors also consider this ongoing process of establishing a new edition and reflect on lessons to be learned.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.239 | 0.288 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.070 | 0.088 |
| Scholarly communication | 0.051 | 0.022 |
| Open science | 0.007 | 0.014 |
| Research integrity | 0.026 | 0.051 |
| 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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".