Engaging China Myth, Aspiration, And Strategy In Canadian Policy From Trudeau To Harper
Bibliographic record
Abstract
For more than four decades, engagement has been the bedrock of Canada's policy toward China, as Ottawa has attempted to assist China's entry into the international system and advance a commercial agenda. More than just high policy, engagement has also been a recurrent narrative that sees changing China as a moral enterprise as important as trade and diplomacy. As global China's economic and diplomatic reach has expanded, policy makers in Ottawa have not fashioned an effective response. They are failing to produce a compelling strategy that addresses the power shift underway and growing public anxiety about China at home. Engaging China is a concise account of the evolution and state of the Canadian approach to China, its achievements, disappointments, and current dilemmas. Written by Paul Evans, professor at the Institute of Asian Research at the University of British Columbia and former head of the Asia Pacific Foundation of Canada, the volume inaugurates the UTP Insights series - books that take on the issues crucial to understanding our world and Canada's place within it. Evans's assessment of the evolution of Canada's China policy speaks to the intellectual history of the idea of engagement, and assesses its internal contradictions and possibilities. He provides the elements of a comprehensive and strategic approach to China's central role in the most important power shift in the global order since World War II.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".