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Why Delay the Inevitable: Why the AIIB Matters to Canada’s Future

2017· article· en· W6922242582 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsSummitChinaInvestment bankingYesterdayBeijingOpposition (politics)PoliticsPosition (finance)

Abstract

fetched live from OpenAlex

Yesterday was the deadline to join the Asian Infrastructure Investment Bank (AIIB) as a founding member. Once again Canada is on the sidelines as Asia and most of the rest of the world moves forward while Canada watches. When Chinese President Xi Jinping announced plans for the AIIB at the APEC summit in Indonesia in 2013 and launched the initiative in Beijing at the China-hosted APEC summit a year later, who would have predicted that such an idea would cause an international furor. The new Bank has garnered significant headlines for two reasons. One is American opposition to the China-led Bank; and two is that some see it as a rival to the World Bank and other multilateral banks. The official U.S. position is that the AIIB is a rival to these institutions and that the funds would be better channeled through the World Bank and the Asia Development Bank. We argue that the AIIB is a welcome Chinese initiative, in line with American calls for China to become a ‘responsible stakeholder’ in the international system. The AIIB will become a multilateral development bank that finances programs addressing huge infrastructure deficits in the Asian region. Myanmar, Cambodia, Laos, the smaller and newer members of the ten-country Association of Southeast Asian Nations (ASEAN), for example, are emerging from years of economic and political isolation to join the region’s economy. Connecting them to each other and their larger neighbours, including China and India, requires major investments to create modern transportation corridors and other infrastructure, including electronic connectivity. Infrastructure development is also integral to a shared vision of integration of the region’s economies to be an engine of global growth. We also argue that The AIIB reflects a world where the majority of global GDP will soon be produced in Asia, and where the infrastructure needs in the region are enormous. Canada has much to offer in terms of skills and expertise in building infrastructure. For Canada it is important to look west, as well as south and east in this century. Failure to join the AIIB would be another failure to make inroads in Asia.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.210
Teacher spread0.201 · 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 teacher head, not a consensus.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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