Bibliographic record
Abstract
Changing the law can be a tricky business. Seen from the perspective of non-governmental organisations, law reform can mean years of lobbying governments and politicians for change; seen from inside government, law reform may signify months or years of consultation, drafting bills, and holding one’s breath for Parliament; seen from Parliament, law reform may mean a relatively simple examination and passage of a Bill or months of political haggling; from the perspective of the public, law reform may appear variously political, idealistic, long and drawn out or hasty. Law reform is all of these things. Most often when we think about the strict process of changing laws in Westminster systems our minds turn to parliamentary examination and passage of government sponsored and private member bills. However, beyond the focus on this one piece of the law reform process, it is worth remembering that proposed legislation often stems from much broader studies of larger legal and policy issues.
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.
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 | 0.055 | 0.116 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.017 | 0.035 |
| Scholarly communication | 0.032 | 0.020 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.013 | 0.011 |
| Insufficient payload (model declined to judge) | 0.019 | 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".