Bibliographic record
Abstract
Canada Among Nations 2005: Split Images, Andrew F. Cooper and Dane Rowlands, eds., Montreal and Kingston: McGill-Queens University Press, 2005, pp. xiv, 295. Split Images marks the twenty-first installment of the Canada Among Nations series. It also marks a new beginning as the first collaboration between the series host institution, the Norman Patterson School of International Affairs, and the Centre for International Governance and Innovation at the University of Waterloo, editors Andrew Cooper and Dane Rowlands, and publisher, McGill-Queen's University Press. It is reassuring to see that others have come forward to assume the task of providing an annual assessment of Canadian foreign policy, its current challenges, and future prospects. The Canada Among Nations series has, through the years, provided a valuable chronicle of the pressing concerns of the day. On occasion the volume has been overshadowed by unexpected events, such as the terrorist attacks of September 11th, that give the text less urgency than it would otherwise have. Potentially, this volume could have suffered a similar fate, given the election of Stephen Harper's minority government after the collection went to press. Repeated references to the Liberal government's International Policy Statement (IPS), not to mention the image of Paul Martin, Jr., that graces the cover, seem somewhat nostalgic, in the face of the Harper government's move to put its own face on such critically important policy arenas as relations with the United States, defence spending, climate change and the Middle East, among others.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.066 | 0.013 |
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".