POINT COUNTERPOINT Should All Pharmacists Entering a Patient Care Setting Have Completed (at Least) a Canadian Hospital Pharmacy Residency Board–Accredited Residency? THE “PRO ” SIDE
Bibliographic record
Abstract
To begin, I think it would be appropriate for me to define the platform from which I will be establishing my argument. First, it’s unfortunate that the question includes the word “hospital ” (as part of the name of the residency board), because I feel that the name of the Board should have been changed a long time ago to the “Canadian Pharmacy Residency Board”. Notably, the Canadian Hospital Pharmacy Residency Board no longer calls its accredited residency a “hospital residency”. Rather, the term “pharmacy practice residency ” has been used since 1996, because “contemporary pharmacy practice residencies are delivered in diverse practice settings. [Furthermore] pharmacy practice residencies develop leadership skills that can be applied to any position in any practice setting. ” 1,2 Second, I will be dealing only with the Canadian health care system, in which
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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 | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.016 | 0.014 |
| Insufficient payload (model declined to judge) | 0.036 | 0.005 |
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".