Emergency rescuers: duties and liabilities / Mohd Royzal Abdul Razak...[et al.]
Bibliographic record
Abstract
This project paper is a study on the duty and liability of the rescuers in Malaysia. During disasters and emergencies, rescue teams have actively participated in the rescue operations to save the lives of the victims who are in peril. In Malaysia, there are two types of the rescue teams; namely government and its agencies and the nongovernment agencies. The liability of the government rescue bodies is covered by the Government Proceedings Act 1956, Public Authorities Protection Act 1948, and any other related provisions in Malaysia. However, there is no specific legislation and provision that covers the liability of the volunteer rescuers in Malaysia. This project paper has referred to the legislation of Canada to consider the duty and liability imposed on the rescuers. There has two type of legislation that covers the liability of the rescuers in Canada, namely The Quebec Charter of Human Right and the Good Samaritans Act. In United Kingdom, the rule of Common law applies the neighbourhood principle which derived from the case of Donoghue v Stevenson [1932] AC 562. However, there is no legal obligation imposed to the rescuers concerning their duty and liability during the rescue operation. The outcome of the project paper is the proposed recommendations of law concerning the duty and liability of volunteer rescuer in Malaysia.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".