Bibliographic record
Abstract
Globalization and the shifting tectonic plates of the international system have led to an increasingly competitive world. If Canada hopes to gain advantage from the dramatic developments underway it will have to aggressively adapt its foreign and domestic policies and priorities under the clear direction of the federal government or accept being left behind. In Brave New Canada , Derek Burney and Fen Hampson identify the key trends that are reshaping the world's geopolitics and economics and discuss the challenges Canada confronts with the rise of China and other global centres of power. Their examination of a wide range of themes - including the place of pluralistic democratic values in diplomacy, economics, and trade, the ways that Canada should reset relations with its neighbour to the south, as well as how to manage new global security threats - paints a picture of how Canada can become bold, assertive, and confident and easily adjust to a new global landscape. Arguing that a successful foreign policy cannot be crafted by looking at the world in the rear-view mirror, Brave New Canada offers evidence-based, provocative prescriptions for both the public and private sectors that should stimulate discussion and command widespread attention.
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 | 0.003 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.124 | 0.022 |
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".