Bibliographic record
Abstract
Canada needs to take a bigger part in the Indo-Pacific’s development and support for a rules-based order or risk getting locked out of the region’s economic, diplomatic and security benefits. Although the Indo-Pacific region is an economic dynamo, it’s also institutionally underdeveloped and the source of numerous traditional and non-traditional security challenges. Traditional challenges include North Korea’s WMD program and potential conflicts between China and neighbouring nations. Non-traditional challenges include piracy, illegal fishing and climate change. Conflicts, especially at sea, could disrupt communications, trade and energy flows. Canadians know that much is at stake in Indo-Pacific region. A 2020 survey found that 83 per cent of Canadians believe that Canada should stand up to China when values like human rights and democracy are on the line. Opinions vary as to how Canadian engagement in the Indo-Pacific should look. Any such process should be clearly and meaningfully articulated to garner buy-in from Canadians. It should also be based on a realistic assessment of the capabilities and capacities Canada can bring to the region. Canada has already used existing institutions, such as military exercises among Indo-Pacific nations, to get involved in the area. Options include bringing together middle-power countries to promote multilateralism and non-military solutions to Indo-Pacific challenges. North Korean denuclearization, vaccine distribution and the digital economy offer possibilities to create a diplomatic consensus among like-minded countries. Outreach should also concentrate on issues directly affecting Canada and its allies, like forging coalitions to resist hostage diplomacy and economic coercion. At the same time, Canada must develop a constructive relationship with China to mitigate regionwide challenges such as climate change. Canada shares an interest with the U.S., Australia, Japan and other countries in ensuring that the Indo-Pacific develops in a free, open and rules-based manner. A more Machiavellian approach founded on the presumption that might is right would see Canada and similar middle-power countries become marginalized and more vulnerable to security challenges. It’s time for Canada to speak up and become more involved in the Indo-Pacific to prevent that scenario.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 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".