Bibliographic record
Abstract
a b l e b r a d wa l l , p r e m i e r o f s a s k at c h e wa nI get the feeling that if policymakers feel like they have been grabbed by the lapels and shaken by this book and its compelling, even urgent, message, the authors will be pleased but not satisfied until we start doing something about it.Mark them well.Their message is quite simply that Canada must not only aggressively engage with the emerging markets of the Asia-Pacific and the developing world, but that we also need a wholesale reorientation of our foreign policy and national mindset to secure Canada's future in a rapidly changing world.Unparalleled levels of cooperation between the federal government, the provinces, and the private sector, along with persistent leadership to secure Canada's future, are the key messages of this timely book.In the fall of 2013, I had just returned from a trade mission to Asia when I learned that Canada and the European Union (EU) had announced an agreement-in-principle on the Comprehensive Economic and Trade Agreement (CETA).This is a vitally important deal for Saskatchewan's uranium industry.It would lift ownership restrictions for EU-based companies, which could mean $2.5 billion in investment and the creation of another 1,200 jobs.It is also a good deal for our beef, bison, and pork producers, and agriculture in general.And the consensus seems to be it's a pretty good deal for Canada generally.Closer trade relations with the EU will make Canada stronger and more prosperous.But the opportunities to be gained from freer trade with Asia are greater by a significant degree.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.519 | 0.496 |
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".