Scrutiny and Approval: The Role for Westminster-Style Parliaments in Treaty-Making
Bibliographic record
Abstract
In December 2004, Parliament's Joint Committee on Human Rights added its voice to the call for a greater parliamentary role in the making of treaties. In its report on Protocol No. 14 to the European Convention on Human Rights, the Joint Committee included a one-page chapter on ‘Increasing Parliament's involvement in the adoption of human rights treaties’, expressing the view that it was desirable for Parliament to become more involved prior to ratification on the grounds that effective parliamentary scrutiny would serve to ‘enhance the democratic legitimacy of human rights obligations incurred… by the Executive pursuant to the prerogative power.’1Motivated by this concern, the Committee has undertaken, on its own initiative, an extensive review of the UK's treaty commitments in the human rights field with a view to securing greater parliamentary support for these obligations through the mechanism of public scrutiny.2
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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 | 0.083 | 0.155 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.013 | 0.038 |
| Scholarly communication | 0.035 | 0.026 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.015 | 0.017 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".