Bibliographic record
Abstract
This report for the Equality and Human Rights Commission (the Commission) examines the threats to information privacy that have emerged in recent years, focusing on the activities of the state. It argues that current privacy laws and regulation do not adequately uphold human rights, and that fundamental reform is required. It identifies two principal areas of concern: the state’s handling of personal data, and the use of surveillance by public bodies. The central finding of this report is that the existing approach to the protection of information privacy in the UK is fundamentally flawed, and that there is a pressing need for widespread legislative reform in order to ensure that the rights contained in Article 8 are respected. The report argues for the establishment of a number of key ‘privacy principles’ that can be used to guide future legal reforms and the development of sector-specific regulation. The right to privacy is at risk of being eroded by the growing demand for information by government and the private sector. Unless we start to reform the law and build a regulatory system capable of protecting information privacy, we may soon find that it is a thing of the past.
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 | 0.045 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.025 | 0.027 |
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".