Canada’s Stem Cell Corporation: Aggregate Concerns and the Question of Public Trust Matthew
Bibliographic record
Abstract
ABSTRACT. This paper examines one nascent entre-preneurial endeavour intended by Canada’s Stem Cell Network to catalyze the commercialization of stem cell research: the creation of a company called ‘‘Aggregate Therapeutics’’. We argue that this initiative, in its current configuration, is likely to result in a breach of public trust owing to three inter-related concerns: conflicts of interest; corporate influence on the university research agenda; and the failure to provide some form of direct return for the public’s substantial tax dollar investment. These concerns are common to many efforts to commercialize academic science but are rendered particularly acute in this case given the therapeutic promise of stem cell research and the con-siderable number of resources related to stem cell research in Canada, which Aggregate Therapeutics is expected to pool. We do, however, believe that the company can be altered to guard against a violation of the public’s trust, and so we present concrete modifications to its structure, which we contend should be given immediate consideration.
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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 | 0.025 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.032 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.021 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".