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Canada First, Not Canada Alone

2024· book· en· W4404606987 on OpenAlexaffabout
Adam Chapnick, Asa McKercher

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsCanadian Forces CollegeRoyal Military College of Canada
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Abstract This book traces the history of Canadian foreign policy from a time when positioning Canada first meant shunning international obligations to the more collective approach that is common today. It highlights key decisions taken and not taken in Ottawa that have shaped Canadians’ safety, security, and prosperity over the last one hundred years. The chapters are organized around the governments of Canadian prime ministers. They begin with an overview of foreign policy during the period. Case studies focused on issues including immigration, environmental reform, the UN Declaration on the Rights of Indigenous Peoples, foreign trade, international development, hostage diplomacy, and wartime strategy illustrate the breadth of challenges that shape Canada’s global realm. Chapters include comprehensive bibliographies based on the latest research. A Beyond the Book case concludes each chapter with an introduction to an additional issue and suggested further reading. Canada First, Not Canada Alone argues that Canada’s national interests have been well served by general policies of diplomatic prudence, compromise, and multilateralism even if in recent years Canadian citizens have often yearned to be leaders on the world stage. Such leadership has been exceptional and, even then, has rarely been undertaken without the support of likeminded allies and associates. Like any country, Canada must look out for its own interests first, but in the modern world it cannot do so effectively without co-operating with other states and non-state actors.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.123
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0130.007
Scholarly communication0.0090.003
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0330.005

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.

Opus teacher head0.012
GPT teacher head0.226
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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