Charity activities in Vietnam – Issues and recommendations
Bibliographic record
Abstract
Charity is always encouraged all over the world. This humanitarian behavior shows the human value between people and helps society become better, which is in line with the spirit of the thousands of generations of Vietnamese people: “lá lành dùm lá rách - the leaves protect the tattered ones”. However, besides the positive aspects achieved so far, this activity in recent years has shown many negative behaviors that distort the inherent good nature of charity activities. The violations of the law in charity activities stem from many different reasons, such as the fact that legal system governing charity in Vietnam is still incomplete and ineffective. The Vietnamese government has not yet enacted a law on charitable organizations; charity activities are mainly governed by sub-law documents such as government decrees (Decree No. 93/2021/ND-CP issued on October 27, 2021, on mobilizing, receiving, distributing, and using voluntary contributions to support overcoming difficulties caused by natural disasters, epidemics, and incidents; support patients with critical illnesses). Besides, the issue of social consciousness and the impacts of the economic and social context are also causes leading to many inadequacies in charity. In particular, during the period of the COVID -19 epidemic and after, many people took advantage of the difficult situation to illegally earn money from charity activities. The consequences of these illegal actions have affected the community's trust in philanthropists and charitable organizations. In this article, the authors are going to focus on analyzing the legal regulations on charity activities in Vietnam and some of the current issues that have taken place in the last 5 years. On the basis of theoretical analysis, situation analysis, and comparison with legal regulations in some countries around the world (such as Canada and Germany), this article will offer some solutions to strengthen legal regulations and improve their effective control over philanthropy 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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".