Book Review: Human Rights in the South Pacific – Challenges and Changes
Bibliographic record
Abstract
This article is a book review of Sue Farran Human Rights in the South Pacific Challenges and Changes (Routledge-Cavendish, United States and Canada, 2009). Recent events in the Pacific highlighted the potentially precarious existence of human rights in some Pacific states and showed that a vigorous human rights debate is needed to further realise human rights. Farran's book in the South Pacific examines themes and tensions raised by rights in Pacific states that have common law as part of their legal frameworks. Farran ponders the notion of human rights with a view to increase awareness of their value and establish workable mechanisms to bolster human rights in the Pacific. While the text offers no definitive solution, it provides a platform of ideas from which meaningful discourse on human rights can spring. Not only is the book accessible and informative, it is also an important contribution to the continuing rights debate in the Pacific by raising awareness of human rights issues for and by Pacific people and providing tangible suggestions for change.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".