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Record W2142592658 · doi:10.1177/1049732314538122

Ethics, “Vulnerability,” and Feminist Participatory Action Research With a Disability Community

2014· article· en· W2142592658 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

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsParticipatory action researchVulnerability (computing)Research ethicsSociologyCommunity-based participatory researchAction researchEngineering ethicsCitizen journalismAction (physics)Public relationsWork (physics)Political scienceLawPedagogy

Abstract

fetched live from OpenAlex

We consider the work of research ethics boards and funding models for research that at times are incompatible with the relationship building required for feminist participatory action research with a disability community. We explore the barriers that emerged for university- and community-based partners as they asserted individual and collective identities, and negotiated boundaries, access, and power relations in the process of designing and conducting research. This critical reflection contributes to our understanding of the structures of academic research funding, ethics approval, and how problematic conceptualizations of vulnerability embedded in the Tri-Council Policy Statement and research ethics board practices impact on relationship building and the research process. Recommendations for change will be helpful to researchers studying disability, those using participatory action research, and individuals serving on ethics review boards.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
models splitAgreement compares identical category sets and study designs across arms.

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)0.694
metaresearch head score (Gemma)0.178
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.6940.178
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0170.039
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.015
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 head0.960
GPT teacher head0.800
Teacher spread0.160 · 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