Time to Get Serious about Privacy Policies: The Special Case of Genetic Privacy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Genetic information is widely recognised as being particularly sensitive personal information about an individual and his or her family. This article presents an analysis of the privacy policies of Australian companies that were offering direct-to-consumer genetic testing services in 2012–13. The results of this analysis indicate that many of these companies do not comply with the Privacy Act 1988 (Cth), and will need to significantly reassess their privacy policies now that significant new amendments to the Act have come into force. Whilst the Privacy Commissioner has increased powers under the new amendments, the extent to which these will mitigate the deficiencies of the current regime in relation to privacy practices of direct–to-consumer genetic testing companies remains unclear. Accordingly, it may be argued that a privacy code for the direct-to-consumer genetic testing industry would provide clearer standards. Alternatively it may be time to rethink whether a sui generis approach to protecting genetic information is warranted.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 it