Osgoode Professor Signa Daum Shanks Wins Academic Prize
Bibliographic record
Abstract
A professor in York University’s Osgoode Hall Law School has won a prestigious academic prize for a scholarly paper recognized for making a significant contribution to legal literature.\nProfessor Signa Daum Shanks is the recipient of a Canadian Association of Law Teachers-Association canadienne des professeur(e)s de droit (CALT-ACPD) academic prize for 2016-17.\nShe will be presented with a CALT Scholarly Paper Award for her piece titled “Why Coywolf Goes to Court” at the CALT-ACPD annual conference at the University of Victoria Faculty of Law from June 8 to 10. The theme of this year’s conference is “The Whole Lawyer and the Legal Education Continuum.”\nTo recognize the work of new scholars, CALT conducts an annual competition for scholarly papers that make a substantial contribution to legal literature.\nAny member of CALT holding an appointment (tenured, tenure-track, postdoc or sessional contract) at a Faculty or department of law at a Canadian university is eligible to enter the competition within seven years of commencing the first appointment.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.203 | 0.078 |
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".