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Record W7135454044

Strengths of Vietnamese economy

2014· dissertation· cs· W7135454044 on OpenAlexaboutno aff
Tuan Nguyen Minh

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2014
Typedissertation
Languagecs
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseWorkforceWork (physics)Foreign direct investmentQuality (philosophy)Investment (military)Developing countryQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Political and economic reforms (Doi Moi) launched in 1986 have transformed Vietnam from one of the poorest countries in the world to a lower middle income country within a quarter of a century. Country has achieved such success thanks to its geographic, strategic, and demographic advantages. The work will examine the effectiveness of advantageus economic sectors of the country to respond how much effective these streghts are for the country in today's global economy during which the work will focus its attention to the main drive motor of the economy, the Vietnamese human resources. The shortcomings of the Vietnamese labour force and the need for reforms in education and training systems to achieve greater economic efficency will be analyzed afterwards. In conclusion, it should noted that foreign direct investment flows to all major sectors of the economy and play a key role in the development of technological level of the country. Vietnamese workforce lacks technical expertise in the health service, counstruction industry, transport and logistics and the chemical industry. Therefore it is neccessary that the local firms and educational institutions work closely together and define curricula and training programs for employees to achieve a better quality of Vietnamese workforce.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.259
Teacher spread0.252 · 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 teacher head, not a consensus.

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
Published2014
Admission routes1
Has abstractyes

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