Bibliographic record
Abstract
Although fifty years have passed since Lester Pearson stepped down as prime minister, he still influences debates about Canada’s role in the world. Known as “Mike” to his friends, he has been credited with charting a “Pearsonian” course in which Canada took on a global role as a helpful fixer seeking to mediate disputes and promote international cooperation. Mike’s World explores the myths surrounding Pearsonianism to explain why he remains such a touchstone for understanding Canadian foreign policy. Leading and emerging scholars dig deeply into Pearson’s diplomatic and political career, especially during the 1960s and his time as prime minister. Topics range from peacekeeping and Arctic sovereignty to environmental diplomacy and human rights policy. They show that competing forces of idealism and pragmatism were key drivers of Pearsonian foreign policy and how global events often influenced politics and society within Canada itself. Situating Pearson within his times and as a lens through which to analyze Canadians’ views of global affairs, this nuanced collection wrestles with the contradictions of Pearson and Pearsonianism and, ultimately, with the resulting myths surrounding Canada’s role in the world.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.009 |
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".