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Record W2119740238

Thailand economic monitor : December 2008

2008· article· en· W2119740238 on OpenAlexaboutno aff
Vatcharin Sirimaneetham, Kirida Bhaopichitr, Frederico Gil Sander

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)UnrestEconomicsLiberian dollarGross domestic productReal gross domestic productConsumption (sociology)Agricultural economicsInvestment (military)PoliticsMonetary economicsEconomic growthGeographyFinance
DOInot available

Abstract

fetched live from OpenAlex

The Thai economy remained resilient through the first three quarters of this year, amidst the sharp rise in food and fuel prices. In the first three quarters of the year, real Gross Domestic Product (GDP) expanded by 5.1 percent year-on-year, compared to 4.6 percent in the same period of 2007. This was led by the robust export growth of 25 percent year-on-year in US dollar terms and 9 percent in real terms, not withstanding the continuous appreciation of the baht. Private consumption and investment also grew by more than they did in 2007, despite the sharp increase in food and fuel prices. On the other hand, public consumption and investments in real terms have contracted in the first three quarters as a result of slow disbursement rates amidst political instability and slow project completion as raw material prices rose sharply. Real GDP growth in 2008 is expected to be 3.9 percent as the global economic slowdown and domestic political unrest weigh upon growth in the last quarter. Growth in the last quarter is expected to slow down to less than 1 percent year-on-year as exports of goods are negatively affected by the deceleration in demand of Thailand's major export markets. Exports of services, of which more than half are tourism receipts, have also been severely affected by the political unrest since October. As a result, manufacturing and services growth in the last quarter of this year will slow down considerably. Layoffs and work hour reduction, particularly in the manufacturing sector, have also started to rise, while private investment slows. As job security and income growth uncertainties increase, consumer confidence is falling and household consumption growth has shown clear signs of a deceleration. These trends will extend into next year as the global economy continues to slow.

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)0.001
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 score0.110
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1100.075

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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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