Potential energy transition in a transitional country: Initial evidence from young Vietnamese survey and Bayesian approach
Bibliographic record
Abstract
Industrialization and consumerism have aroused growing concern about energy depletion, necessitating a transition from fossil fuel to renewable energy sources. To this end, every segment of the population should shoulder responsibility for mitigating environmental problems, especially the young generation. This study contributes to the literature on environment management and development by improving the understanding of young adults’ intention to acquire energy conservation knowledge and its correlation with their demographics and environmental concerns. We employed a systematic randomized sampling method and conducted a large-scale online survey with the participation of 1454 students in 48 different universities in Vietnam. The first results show that young adults had significant environmental concerns, yet more efforts are demanded to turn perceptions into actions or contributions. Almost 83% expressed a desire for energy-saving knowledge, and roughly 50% are willing to take an energy course. We found that the young adults' perception and high income were positively associated with their decision on energy course enrolment. Demographically, women were more likely to take energy-saving courses, and those living urban areas had a higher desire for knowledge enhancement. These findings have numerous policy implications for facilitating energy transformation based on improved environmental education programs for sustainable development in Vietnam and beyond.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".