Bibliographic record
Abstract
J C P H – Vol. 68, no 5 – septembre–octobre 2015 436 General Meeting and Educational Sessions. The final edition of this long-standing CSHP conference took place in Ottawa from August 15 to 18, 2015. The termination of this meeting came about through careful adherence to the steps of organizational change: identify the change, engage the volunteers and members, and implement the change. Given the decrease in pharmacists’ participation in national CSHP education events, the increase in Society costs (in terms of both finances and time) to organize 2 large educational events each year, and other factors, a task force recommended this strategy, and planning for the final SES in 2015 occurred over a number of years. Although I was well aware that this change was coming, I am still mourning the end of CSHP’s longest-running educational program. Of note, contemporary research (as reported by ESI International) has confirmed that, although change has personal and emotional aspects, it also has a neurological effect, which provides me some solace during this period. Personally, I have always derived the greatest professional satisfaction from my interaction with colleagues from across the country at the various social opportunities during the SES. I am confident that CSHP, as a professional organization, will find a new way to ensure that this rich history of opportunities for networking and socializing among colleagues and pharmacy leaders across the country is preserved. With every change comes the opportunity for a new beginning!
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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.018 |
| Insufficient payload (model declined to judge) | 0.066 | 0.028 |
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".