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Record W7026654637

ASEAN-Canada Forum 2008

2010· other· en· W7026654637 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsFree tradeEconomic integrationInternational free trade agreementScope (computer science)LegislatureLiberalizationTrade barrierCommercial policyTrade diversion
DOInot available

Abstract

fetched live from OpenAlex

In November 2008, the Regional Economic Studies Programme of the Institute of Southeast Asian Studies (ISEAS) and the Singapore office of the International Development Research Centre (IDRC) of Canada organised a forum on 'Regional Economic Integration - ASEAN and Canadian Perspectives'. The forum concluded that fundamentally the ASEAN Free Trade Area (AFTA) and the North American Free Trade Agreement (NAFTA) were two different kinds of agreements. First, while NAFTA focused entirely on trade and investments, the scope of AFTA was much broader, going beyond issues of trade and investments alone. Secondly, NAFTA was a lightly institutionalized regional trade agreement. There was no formal policy of institutional or policy development, and it lacked legislative instruments. Although ASEAN had a secretariat, its regional institutions remained weak in comparison to those of the European Union. Thirdly, the dispute-settlement mechanism in ASEAN was different from that of NAFTA. The ASEAN provisions were scattered over a number of documents and covered both economic (trade and investment) issues and other disputes (e.g., political or territorial), while NAFTA provisions were contained in a single document and could be applied only to matters related to trade and investments. Finally, although many studies presented trade liberalisation as a win-win proposition, the distribution of costs and benefits was mostly uneven. In the case of Canada, short-run gains in efficiency from expanded trade could be identified, but it was harder to determine longer-term dynamic gains. On the other hand, in the case of ASEAN, it was still grappling with the issue of the development divide, especially since the admission of Cambodia, Laos, Myanmar and Vietnam into the group

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.289
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2700.002

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 head0.003
GPT teacher head0.169
Teacher spread0.166 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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