Strengthening the Parliamentary Scrutiny of Delegated Legislation: Lessons From Australia
Bibliographic record
Abstract
Delegated legislation involves Parliament lending its legislative powers to the executive branch of government, such as to the cabinet or an individual minister. As the ultimate source of legislative power, Parliament has a special responsibility to keep an eye on executive lawmaking. The Australian federal scrutiny committee – formerly called the Senate Standing Committee on Regulations and Ordinances, and now rebadged as the Senate Standing Committee for the Scrutiny of Delegated Legislation – recently carried out an inquiry to consider how it could improve its scrutiny process. In 2019 it published a unanimous report that was endorsed by the Australian Senate in November when it amended its Standing Orders in line with the committee’s proposed changes. This article provides an overview of the Australian scrutiny committee and its inquiry. It then considers the committee’s report and recommendations, which present an opportunity to consider changes to the parliamentary scrutiny of delegated legislation in other jurisdictions such as Canada.
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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 | 0.023 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".