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Record W6903568211 · doi:10.11588/iaf.1998.29.676

Hosting the Economic Leaders’ Meeting 1997: Canada and APEC

2016· article· en· W6903568211 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library Heidelberg · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMultitudeGovernment (linguistics)ImmigrationAsia pacificEconomic communityCarry (investment)

Abstract

fetched live from OpenAlex

On 24th-25th November, 1997, Canada hosted the APEC Economic Leaders’ Meeting in Vancouver. The federal government as well as many provincial leaders used this opportunity to present their country as a nation maintaining a multitude of cultural, political, economic and social ties with other countries in the Asia Pacific, in short, as a country which belongs to the region. Therefore, a multifaceted program was designed to precede and surround last year’s APEC activities and 1997 was declared ‘Canada’s Year of the Asia Pacific’. Apart from helping to build a sense of community in the Asia Pacific region, the strategy aimed at achieving some very concrete, mainly economic goals. This article analyzes three of these goals in detail, namely Canada’s interest in reducing its dependence on the U.S. market, in stimulating exports to the region, and in attracting business immigrants from Asia. Based on these determinants the paper examines Canada’s APEC policy, putting great emphasis on the government’s strategy for the 1997 meeting and assessing its success.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.993

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0260.004
Scholarly communication0.0100.001
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.011
GPT teacher head0.181
Teacher spread0.170 · 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
GenreEmpirical

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
Published2016
Admission routes1
Has abstractyes

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