Bibliographic record
Abstract
More than 80 percent of clinical drug trials in Canada are funded by the pharmaceutical industry. This article evaluates the overall state of clinical trials in Canada and looks at the interplay between public and private interests. Health Canada has adopted standards developed by the International Conference on Harmonization, a body that is heavily influenced by industry. Commercial interests are increasingly involved in recruiting patients into clinical trials and in running these trials. It is in industry's interests to conduct drug tests on people for which it is easiest to see benefits. These interests are not fundamentally challenged by Health Canada's policy of issuing nonmandatory guidelines on who should and should not be included in clinical trials. The outcome of clinical trials is heavily influenced by commercial sponsorship, with the result that trials may favor corporate interests rather than the interests of the public. How Health Canada deals with that possibility is not known, because of its strict policy of treating clinical trial data as private property. If clinical trials are to serve the purpose for which they are designed, developing reliable and objective information about new drugs, then commercial interests cannot be allowed to take precedence over health interests.
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".