Report Card: Trudeau's Foreign Policy, The First 100 Days
Bibliographic record
Abstract
Grading CategoriesThis report card is one of several that Carleton University's School of International Affairs has planned for the Government of Canada over the next 4 years or so.Having come to power on a commitment to be more accountable, open, and publicly engaged, we have responded accordingly by establishing a set of foreign policy benchmarks with which we can evaluate the Trudeau government's performance over time.The end of the first 100 days in power is traditionally accepted as the point where a newly-elected government finds its footing, gets down to business, and begins to make tough choices.It also coincides with the opening of the 42 nd sitting of the Parliament of Canada, where the same kinds of questions will be asked of Prime Minister Trudeau and his Cabinet as we are asking here.There is no doubt that Canadians have high hopes for a government committed to democratic renewal.The challenges the government faces are significant: A. Deepening public engagement in informing development, trade, security and environment policy at a time of unprecedented political turbulence and economic upheaval.B. Charting a course for Canada in the world that balances the need for inclusive economic growth while ensuring diversity can flourish without constraint.C. Giving full expression to Canada's core values by renewing our commitments to international institutions and norms that have given Canada strength, resilience, and credibility on the world stage.Based on the Liberal government's first 100 days, this report card assesses the trajectory of Canada's foreign policy.It considers whether Canada will be a leader or a follower, questioning if it will revert to the role it has historically been known for as an influential, if not "middle" power, exercising both soft and hard power when appropriate.Beyond the letter grade, the report card has another purpose as a starting point for discussion and debate among Canadians.This report card would not have been possible without the support of those experts at Carleton whose insights have helped us evaluate and grade the government in the nine crucial areas of climate change, the environment, trade, diplomacy, development, national security, defence, refugees, and immigration.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.133 | 0.069 |
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".