Bibliographic record
Abstract
Since the Hon Robert McClelland launched the National Human Rights Consultation on 10 December 2008, policy and legislative circles have been abuzz with talk of shoring up Australia's commitment to the protection of human rights and the potential enactment of a Charter of Rights. This article seeks to contribute to the debate by comparing the two dominant models of statutory Charter mechanism that have been on the policy table: the dialogue model, which parallels statutory models adopted in the UK as well as domestically in Victoria and the ACT; and the model based on the Canadian Bill of Rights, proffered by the Hon Michael McHugh AC QC. Ultimately, utilising the issue of asylum seekers as a case in point, it is concluded that while the dialogue model carries greater conceptual weight, the model proffered by the Hon Michael McHugh is a more practical model of redress for individual human rights grievances.
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 | 0.059 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.017 | 0.095 |
| Scholarly communication | 0.034 | 0.037 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.018 | 0.028 |
| Insufficient payload (model declined to judge) | 0.005 | 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".