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Record W2013320247 · doi:10.1111/1467-9531.00107

1. Anticipating Law: Research Methods, Ethics, and the Law of Privilege

2002· article· en· W2013320247 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.

Bibliographic record

VenueSociological Methodology · 2002
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConfidentialityStatutory lawPrivilege (computing)ObligationContext (archaeology)LawCriminal justicePolitical scienceOrder (exchange)Economic JusticeDuty to warnBusiness

Abstract

fetched live from OpenAlex

Our ethical obligation to protect the research confidentiality of individual participants is challenged when third parties use subpoenas in the context of criminal proceedings and civil litigation in an effort to order the production of confidential information. This paper discusses strategies researchers may employ in order to maximize their legal ability to maintain confidentiality in spite of those challenges. Use of existing statutory protections is the first choice, but these are available for only a subset of research related to health and criminal justice issues. In situations where statutory protections are not available, the Wigmore criteria may act as a guide for the design of research that maximizes researchers' ability to protect research participants by advancing a case-by-case claim for researcher-participant privilege. We discuss the legal basis for this conclusion and outline procedures that may be used to further strengthen confidentiality protections.

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)0.225
metaresearch head score (Gemma)0.415
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2250.415
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.025
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0020.014
Insufficient payload (model declined to judge)0.0010.000

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 head0.980
GPT teacher head0.787
Teacher spread0.193 · 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