The 1993 Canadian Association of Gastroenterology Strategic Plan: Excellence in Achievement
Bibliographic record
Abstract
By the summer of 1990, the Canadian Association of Gastroenterology (CAG) had been in existence as Canada’s premier gastroenterology society for nearly thirty years. The specialty of gastroenterology was in an exponential growth phase and many changes were on the horizon, including discussions as to whether the CAG should continue to conduct its annual meeting in conjunction with the Royal College meeting. In 1990, the CAG Governing Board and then president Dr Eldon Shaffer initiated a membership needs analysis (with technical assistance provided through the Strategic Planning Group at Searle Canada Inc) to provide a foundation for a strategic planning process that was to carry forward over the next several years and ultimately produce the CAG’s first strategic planning document. After substantial review and assessment, the 1991/1992 and 1992/1993 CAG Governing Boards approved the 1993 CAG Strategic Plan. This strategic plan served the organization well over the past decade and has provided the cornerstone upon which the CAG advanced many progressive initiatives.
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 | 0.018 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".