Museum seeks nominations for Canadian Science and Engineering Hall of Fame
Bibliographic record
Abstract
The Canada Science and Technology Museum invites nominations for this year's inductees to the Canadian Science and Engineering Hall of Fame.Inductees will be chosen by a Selection Committee representing a diversity of science and engineering institutions, and will be honoured at a special induction ceremony this November in Ottawa.The Canadian Science and Engineering Hall of Fame seeks to promote Canadian achievements and careers in sci ence and engineering.Nominees are required to have con tributed in an exceptional way to the advancement of science and engineering in Canada; their work must have brought great benefits to society and their communities; and they must possess leadership qualities that can serve as an inspi ration to young Canadians to pursue science, engineering or technology careers.Nominations should state, in 500 words or less, the sup porting arguments for an individual's induction into the Hall of Fame.Nominations can be submitted by individuals or on behalf of an organization, and individuals nominated in pre vious years can be nominated again.The deadline for this year's nominations is April 1, 2002.The two newest members of the Canadian Science and Engineering Hall of Fame, inducted in November 2001, are pioneering ecologist Pierre Dansereau and accomplished medical geneticist, Charles Scriver.With these two new members, there are now 28 Canadian scientists and innova tors honoured in the Hall of Fame, including Maude Abbot, Sir Frederick Banting, Joseph-Armand Bombardier and Elizabeth MacGill.The Hall of Fame is located at the Canada Science
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.261 | 0.026 |
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".