Transition to Members in Action e-news
Bibliographic record
Abstract
Transition to Members in Action e-news C ompleting my two-year term as Board Chair draws me to reflect upon the past five years as a Board member and to recognize that this is a time of transition.With this transition, comes a shift of the Chair's Message from the Canadian Journal of Dietetic Practice and Research to Members in Action (MIA) e-news, since the Chair's Message is written to members and MIA is the member communications vehicle.The message will appear twice a year and is not intended to replace the "From the Board" articles.This is therefore the final Chair's Message in the Journal and first time in MIA.In reflection, there have been many highlights during my term on the Board.If pressed to choose one, it would be the joint work that was completed by the DC Management Team and Board in the development of a set of new results the organization is to producecalled Ends.As a basis of environmental scanning, key drivers were identified, and data including the Board facilitated member/ nonmember survey (totalling over 2,000 respondents) were analyzed.As a further outcome, the process of shaping the preferred future context within which DC operates was acknowledged.It has been a milestone in my career, to serve on the DC Board.Second to none, it has been an honour working with YOU as members-the owners of DC, the dedicated DC staff and CEO Marsha Sharp, and Board colleagues who volunteer countless hours to ensure the health of the organization.It remains without a doubt that together we contribute immeasurable expertise and a definite passion for advancing our profession.
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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 | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.183 | 0.052 |
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".