Wise wizards words of wizdom:ISBS 2018 Auckland wizen wizards keynote panel
Bibliographic record
Abstract
In keeping with our Kiwiana theme, we will have a Wise Wizards Panel (yes, think Lord of the Rings movie) to answer interactive questioning from the delegates. Panel members are prestigious previous Geoffrey Dyson awardees, Life members, and ISBS Fellows: Professors Patria Hume, Bruce Elliott, Joe Hamill, Walter Herzog and Juris Terauds. Professor Walter Herzog is a Professor at the University of Calgary. Professor Joe Hamill is currently President of the International Society of Biomechanics. Professor Patria Hume was the inaugural SPRINZ Director at the Auckland University of Technology. Professor Juris Terauds and Professor Bruce Elliott are both Emeritus Professors. Professor Bruce Elliott’s philosophy has always been “a good question leads to beneficial research”. Come prepared to ask these wise biomechanists all the things you have ever wanted to know about biomechanics, as a discipline and a career. Via the session chairs Associate Professor Jacqueline Alderson and Professor Gareth Irwin, and using a dedicated feed arranged by our ISBS Social Media Coordinator Kylie Robinson, you will be able to ask questions like; · What does it take to have a successful academic career as a biomechanist? · Where are some of the best experiences that can be gained in applied biomechanics? · What is your crystal ball prediction of what biomechanics specialists will focus on in 10 years time? We hope that delegates, especially student and early career researchers, take up this unique opportunity to gather insight from those in whose footsteps they walk. Maybe the paths that you each shall tread are already laid before your feet, though you do not see them. - Lady Galadriel
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.515 | 0.284 |
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".