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Record W2345051711 · doi:10.55016/ojs/sppp.v7i1.42474

Grand, Bland or Somewhat Planned? Toward a Canadian Strategy for the Indo-Pacific Region

2014· article· en· W2345051711 on OpenAlexfundaboutno aff
Patrick James

Bibliographic record

VenueThe School of Public Policy Publications · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
FundersBeijing Foreign Studies UniversityInternational Council for Canadian StudiesHebrew University of JerusalemAssociation for Canadian Studies in the United StatesQueen's UniversityUtah State UniversityUniversity of Southern California
KeywordsGrand strategyIndo-PacificHistoryPolitical scienceGeographyArchaeologyBiologyFishery

Abstract

fetched live from OpenAlex

Canada may be a Pacific nation, but one would hardly know it, given its history of merely sporadic and inconsistent engagement with the Indo-Pacific region. The idea of a proud legacy of special relations with Asian nations is clearly overblown. Canada’s relations with the Indo-Pacific region are in need of serious attention and forethought. There is cause for concern: With the spectacular economic rise, and growing influence, of certain Asian nations, Canada’s pattern of Indo-Pacific neglect is proving increasingly unaffordable. Canada may not have squandered any significant legacy from the past, but it might easily squander the potential for crucial relations in the future. Understandably, that has led some observers to call for a sort of “grand strategy” for Canada to deal with the Indo-Pacific region: an overarching framework that would co-ordinate all the various facets — economic, institutional and security — where Canadian interests do and will touch the Indo-Pacific region. Yet, again, these calls are misplaced: Canada must be more engaged in the region, but there are instances where it should address issues on a seriatim basis (that is, confronting and responding to issues on their own, as they emerge). In some cases, a strategic framework may be prudent, but not in all cases. The appropriate approach is neither a grand strategy, nor a “muddling through” approach, but rather, something in between: partly strategically planned, partly not. In particular, it would be inadvisable for Canada to fully commit to any standing security strategy to deal with the rise of China’s military power. Canada is not a global military power, whereas its closest ally, the United States, is the world’s largest military power. The American strategy toward China will influence Canada’s approach more than any other factor, however the U.S. strategy is currently largely unclear. For Canada to be proactive in independently developing a security strategy with regard to China could result in waste and even conflict with our allies. Indeed, in evaluating Canada’s security position vis-à-vis the entire Indo-Pacific region, the factors largely seem to favour Canada taking a seriatim approach: Canada’s natural and optimal position, given its military status, is to take a reactive, second-mover approach, rather than a first-mover approach. Somewhat ironically, Canada’s history of inattentiveness towards the Indo-Pacific region may actually provide Canada with increased flexibility and advantage in the new era of rising Asian power: Put simply, save for a few examples, there is a distinct lack of baggage between Canada and the Indo-Pacific nations, leaving something close to a clean start for future relations. It is, however, critical that Canada not allow that past irresponsible practice to persist. Notions of some “grand strategy” for the Indo-Pacific region may be misguided. But given the ascendant role of Indo-Pacific nations in the 21st century, it would be even more unwise for Canada to maintain its longstanding pattern of indifference toward the region.

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)0.005
metaresearch head score (Gemma)0.005
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.900
Threshold uncertainty score0.725

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0280.012
Scholarly communication0.0160.005
Open science0.0030.006
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0090.001

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 head0.091
GPT teacher head0.333
Teacher spread0.242 · 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
GenreCommentary

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

Citations5
Published2014
Admission routes2
Has abstractyes

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