What’s In a Name? Privacy and Citizenship in the Voluntary Disclosure of Subscriber Information in Online Child Exploitation Investigations
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
The Canadian cases dealing with the constitutionality of police access to customer name and address information held by telecommunications service providers (TSPs) are notable in that they deal with voluntary disclosure by TSPs at the request of law enforcement officers and because these requests have all been pursuant to investigations related to child pornography offences. Child exploitation is an exceptional context and we should be cautious in drawing broad legal conclusions from these cases, particularly in relation to the Canadian government’s “lawful access” initiatives which include proposals for mandatory sharing of subscriber information upon police request for any purpose. \n \nThis article argues that the social and legal context to voluntary cooperation is key to understanding why companies make an exception to their usual practice of requiring warrants in the service of protecting vulnerable children. It also argues that voluntary cooperation must abide by the requirements of “reasonableness” set out in both the Personal Information Protection and Electronic Documents Act (PIPEDA) and Charter jurisprudence. Further, such cooperation must comport with both general privacy principles evaluating the sensitivity of information and the limits on police discretion required to abide by the rule of law.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it