The Three Committee Systems of the Australian Parliament – A Developmental Overview? 111 THE THREE COMMITTEE SYSTEMS OF THE AUSTRALIAN PARLIAMENT- A DEVELOPMENTAL OVERVIEW?
Bibliographic record
Abstract
Parliamentary institutions have undergone a revival internationally during the last twenty years. As a starting point for our inquiry into parliamentary change, we have focused on the one dimension that has been universally acknowledged as having had transformative effects on world Parliaments (Longley and Davidson 1998). The Australian Parliament over the past two decades has already changed to the point where almost all non-executive members (i.e. excluding the Ministry and shadow cabinet) are preoccupied for much of their time with parliamentary committees. Those who are most attentive to committee work (one quarter of the members) are now devoting at least a quarter of their time to this work. In equivalent full-time terms, this means that at least ten per cent of the time (a conservative estimate) of the Members of the Parliament is now committed to committee work. The number of parliamentary committee reports produced annually in the recent past has ranged between 100 and 200. The Commonwealth Parliament is distinguished internationally by having three committee systems, one located with in each house, the third set operating at the
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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 | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".