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Managers and Management in Vietnam: 25 Years of Economic Renovation (Doi Moi)

2014· article· en· W2025955625 on OpenAlexvenueno aff
Vincent Edwards, Anh N. Phan

Bibliographic record

VenuePacific Affairs · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseSensibilityManagement developmentEconomicsEconomic growthBusinessPolitical scienceManagement

Abstract

fetched live from OpenAlex

The Journal of Southeast Asian Economies (JSEAE) is a peer-reviewed journal focusing on economic issues pertaining to countries in the region – defined as the ten members of the Association of Southeast Asian Nations (ASEAN) and East Timor. JSEAE welcomes articles using orthodox economic approaches as well as those of a more heterodox nature. Oriented at both researchers and policy-makers, the journal seeks to reconcile the ideals of relevance, methodological rigour, and accessibility. Published by the ISEAS – Yusof Ishak Institute tri-annually, JSEAE includes: articles based on original research; research notes; review articles; and book reviews. Once a year, the Journal publishes a Special Issue devoted entirely to a topic of import for the region. Up until April 2013, JSEAE was published as the ASEAN Economic Bulletin (AEB). However, following new developments in the regional and global context, as well as the establishment of new multi-lateral trading agreements including countries in the region, the Directorship of ISEAS and AEB’s Editorial Board decided to change the journal’s name. While its name has changed, JSEAE remains committed to being the premier economic journal for Southeast Asian academicians and policy-makers, as well as anyone with an interest in the region. All research articles in the journal have undergone rigorous peer-review. The process consists of initial screening by the Co-Editors and Associate Editor, followed by double-blind refereeing; two reviewers for articles and one reviewer for research notes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.415

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)0.0000.000

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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations20
Published2014
Admission routes1
Has abstractyes

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