Infringement Notices: Stimulus for Prevention or Trivialising Offences?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the OHS field increasing use is being made of administrative penalties to enforce OHS legislation. Infringement notices (also known as penalty notices or on-the-spot fines) are used in several Australian jurisdictions and there are plans to introduce them in others. Overseas jurisdictions with some form of OHS administrative penalty include the United States, some Canadian provinces, and the system recently enacted in New Zealand. This article reviews empirical evidence and legal argum ents about the use of infringement notices for enforcing OHS legislation. Key factors influencing the impact of these notices are discussed, including the monetary amounts of penalties, the nature of offences, the criteria and processes for issuing notices, and other implementation issues. There is a need for further empirical studies to determine the characteristics of infringement notice schemes that are most effective in motivating preventive action.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it