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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 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)0.003
metaresearch head score (Gemma)0.003
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 score0.242
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0070.001
Scholarly communication0.0100.002
Open science0.0030.003
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.1480.043

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; 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
Published2010
Admission routes1
Has abstractyes

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Same topicTurtle Biology and ConservationFrench-language works237,207