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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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.591
Threshold uncertainty score0.998

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.004

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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations4
Published2008
Admission routes1
Has abstractyes

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