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Record W2610222447 · doi:10.1111/lapo.12080

Brokering Access Beyond the Border and in the Wild: Comparing Freedom of Information Law and Policy in Canada and the United States

2017· article· en· W2610222447 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLaw & Policy · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsUniversity of Winnipeg
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFreedom of informationState (computer science)Meaning (existential)Political scienceLawVariation (astronomy)Public administrationPublic policyPublic accessPsychology

Abstract

fetched live from OpenAlex

Contributing to literature on jurisdictional variation in freedom of information (FOI) law and policy, we draw from accounts of experiences of FOI requests submitted to police agencies in nine Canadian provinces and ten US states. We conceptualize these experiences using notions of “brokering access,” “law in the wild,” and “feral law.” Our findings demonstrate key differences in how public police agencies store, prepare, and disclose information at municipal and provincial/state levels in Canada and the US, meaning that FOI‐related feral lawyering in Canada and the United States differs and fluctuates because of the variation in the mode of contact with FOI coordinators, fee estimate practices, and procedures for and responsiveness to appeals. In conclusion, we discuss the implications of our findings for methodological and sociolegal literature about FOI requests and for provincial/state FOI policies in both countries.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.277
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it