Stronger Together: Leadership for New Security & Economic Challenges
Bibliographic record
Abstract
Stronger together than acting alone, Canada and the United States face significant security challenges of sourcing critical minerals (economic security), maintaining military readiness (North American Aerospace Defense Command and Arctic security), and global peacekeeping (NATO security). The 47th Annual Canada-U.S. Law Institute Conference on April 20 and 21, 2023, will analyze these issues by bringing together government officials, distinguished academics, practitioners and business leaders. This will occur on the heels of the first Biden-Trudeau Summit, where the countries’ two leaders will chart the path for being stronger together in today’s volatile world. 5.0 CLE credits are available for April 21st only for an additional $100 for Alumni and $200 for Non-Alumni. Payment is made on April 21st with a check or credit card if attending in-person or paying online if attending virtually.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.113 | 0.022 |
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".