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Record W2028397399 · doi:10.1177/1077800406297654

Canadian University Ethics Review

2007· article· en· W2028397399 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQualitative Inquiry · 2007
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsInstitute for Christian StudiesUniversity of TorontoBrock University
Fundersnot available
KeywordsResearch ethicsEngineering ethicsSociologyConfidentialityReciprocity (cultural anthropology)Information ethicsContext (archaeology)Qualitative researchEthical codeMeta-ethicsPolitical sciencePublic relationsSocial scienceLaw

Abstract

fetched live from OpenAlex

Drawing from educational research conducted in Canada and Mexico, university researchers explore how culture complicates both the ethics review process and the translation of ethical research principles into practice. University researchers in Canadian contexts seek approval from university Research Ethics Boards to conduct research, following policies outlined in the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans. In this article, the authors consider some cross-cultural ethical dilemmas in relation to educational research, which is often qualitative and interpretive in nature and conducted in schooling settings. Drawing from educational research, the authors conduct both in Canada and in an international context an exploration of how culture complicates both the ethics review process and the translation of ethical research principles into practice. As a result of their experiences, the authors focus specifically on issues related to consent, reciprocity, anonymity and confidentiality, and data representation.

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)0.069
metaresearch head score (Gemma)0.072
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0690.072
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0020.003

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 head0.480
GPT teacher head0.648
Teacher spread0.168 · 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