Alberta College of Pharmacists confirms it will proceed with inducements ban but enabling mechanism still under review
Bibliographic record
Abstract
After a few months of delay to digest a flood of comments on the issue, the Alberta College of Pharmacists (ACP) has confirmed it will not abandon plans to prohibit consumer inducements for prescription drugs and professional pharmacy services. The ACP first proposed banning coupons and loyalty programs in the fall of 2012—a move that prompted criticism by some patient groups and retailers. In late December of last year, the College said it needed more time to assess the complex issue and the extensive feedback it had received. In a statement issued April 18, 2013, the regulatory body stated it would go ahead with the proposed ban, noting that 75% of pharmacists and pharmacy technicians it surveyed support such action by the College. “This isn’t about any one pharmacy or any one type of reward. The prohibition would apply to all pharmacists, pharmacy technicians and pharmacies,” said Greg Eberhart, ACP Registrar, in the statement. “Pharmacists are making decisions about drug therapy; it’s not the same environment that we had 5 or 10 years ago. Our interest is around the practices of pharmacists and the new expectations and responsibilities they have. We want to make sure they are free from conflict.” The College is still considering the best mechanism for putting the ban into effect. It could be a new regulation, standard of practice or amendment to the Code of Ethics. No timeline for the change has been announced; the College says that will depend in part on which mechanism is to be used.
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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 | 0.023 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.030 | 0.021 |
| Insufficient payload (model declined to judge) | 0.062 | 0.030 |
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".