Developing Science, Technology, and Innovative Creativity to Meet the Requirements of Sustainable Development in Vietnam: Current Situation and Solutions
Bibliographic record
Abstract
In conjunction with labor, capital, and natural resources, the pivotal role of science, technology, and innovation in the socioeconomic advancement of nations and societies is indisputable.This domain has historically been instrumental in propelling societal advancement, augmenting the standard of living, and fortifying national security.Nonetheless, the prevailing scenario evinces myriad challenges confronting science, technology, and innovation, particularly amidst the epoch of the Fourth Industrial Revolution.To harness the full potential of science, technology, and innovation, holistic strategies must be devised and implemented.The objective is to fulfill the requisites of sustainable socioeconomic progress, particularly amidst the pervasive impact of the Fourth Industrial Revolution across all facets of societal existence.Research endeavors will be directed towards scrutinizing and appraising the current landscape, alongside offering recommendations and remedies to foster the sustainable evolution of science-technology, innovation, and sustainable development in Vietnam.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".