Managers and Management in Vietnam: 25 Years of Economic Renovation (Doi Moi)
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".