The Foreigner and the Right to Justice in the Aftermath of September 11th
Bibliographic record
Abstract
In January 2003, the Privacy Commissioner of Canada stated in his report for 2001–2, to the Parliament that: The Government is, quite simply, using September 11 as an excuse for new collections and uses of personal information about all of us Canadians that cannot be justified by the requirements of anti-terrorism and that, indeed, have no place in a free and democratic society… Now I am informing Parliament that there is every appearance that governmental disregard for crucially important privacy rights is moving beyond isolated instances and becoming systematic. This puts a fundamental right of every Canadian profoundly at risk. It is a trend that urgently needs to be reversed… Regrettably, this Government has lost its moral compass with regard to the fundamental human right of privacy. These are extremely harsh words, when expressed by an officer of Parliament with a majority government in the House. The Commissioner was referring to various acts or draft legislations of the government, all prepared in the aftermath of 11 September: Canada Customs and Revenue Agency's new passenger database; The unrestricted access by Royal Canadian Mounted Police (RCMP) to all information that airline companies collect on their passengers and its transfer to foreign authorities under the Aeronautics Act; Dramatically enhanced state powers to monitor our communications, especially international ones; A possible national ID card with biometric identifiers, as advanced by the Citizenship and Immigration Minister, on the model of that which has already been adopted for permanent residents; and The government's support of precedent-setting video surveillance of public streets by the RCMP.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.034 | 0.023 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.014 | 0.023 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".