Symposium on the Trans-Pacific Partnership and Beyond: Advancing Canadian Trade and Investment in Asia
Bibliographic record
Abstract
On June 18, 2015 the University of Calgary’s School of Public Policy hosted the symposium The Trans-Pacific Partnership and Beyond: Advancing Canadian Trade and Investment in Asia, at the Canadian War Museum. The School was honoured to have Dr. Randolph Mank present the keynote address at this event who brings over thirty years of public and private sector experience in Asia to his analysis of Canadian relations in Asia. A three-time Canadian Ambassador in the Asian region, having served in Indonesia, Malaysia and Pakistan, Mank also held the position of Senior Advisor and Vice President Asia for Blackberry and currently lives in Singapore. Presenting a policy prescription for Canadian-Asian relations over the next five years or so, Mank shares a personal “Top 10” list of specific things Canada should do to advance national and business interests in Asia. Although expanding trade linkages in the region is obviously crucial for Canada, Mank’s recommendations are positioned within the broader framework of strengthening our diplomatic platform and development assistance in the region. Mank concludes that if Canada does not increase its engagement and investment in Asia, we won’t be an influential player in the evolving and highly integrated new world order. One might agree with every recommendation, or once might quibble with the government-centered focus of his prescriptions; most certainly, some Canadian firms have been successful in Asia and we could learn from their experiences. That said, Dr. Mank speaks from authority and we are pleased to publish his speech as a valuable contribution to a more informed and public debate on Canada’s future role in Asia.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.005 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".