Access to Information (ATI) as a Double-Edged Sword for Critical Policing Research
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
In perhaps no other area of scholarship is access to information (ATI) legislation as contentious and the stakes so high as in policing and security research. Although ATI has become an important mechanism by which researchers have been able to analyse security and police practices, there remain significant legislative barriers preventing access. A decade after 9/11, the need for increased scrutiny of government agencies tasked with security and policing remains high, as is evident from the proliferation of public and private policing, the advance of a general societal risk aversion, and the now ubiquitous nature of state security and surveillance. In this article we offer first-hand accounts that highlight the institutional imbalances between police organizations and researchers, and consider the potential long-term effects of ATI in this area of scholarship. ATI legislation in Canada is increasingly becoming both a tool for researchers to penetrate policing organizations and also a weapon with which security institutions can stymie critical inquiry. The significant amount of Canadian ATI research that has stemmed from national security scholars shows the difficulties faced in this field when attempting to exercise the “right to know.” The strident lack of transparency within security and policing institutions tips the balance of access versus secrecy towards the latter, under the ever-present assumption that secrecy equals security. However, this area of research plays an important role in political discourse by fostering public dialogue and raising awareness of questionable and illegal security practices. As Larsen points out, we have seen ATI used recently to shed light on politicized security issues such as the Arar Inquiry, the campaign to repatriate Abousfian Abdelrazik, and, most recently, the Afghan detainee transfer scandal.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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