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Record W2100152868 · doi:10.1177/1077800412462987

Picture This . . . Safety, Dignity, and Voice—Ethical Research With Children

2012· article· en· W2100152868 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.

Bibliographic record

VenueQualitative Inquiry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalWestern University
FundersCanadian Occupational Therapy FoundationSocial Sciences and Humanities Research Council of CanadaBloorview Research Institute
KeywordsDignityReflexivityQualitative researchPower (physics)Ethical issuesResearch ethicsPsychologyEngineering ethicsSociologyLawPolitical scienceSocial science

Abstract

fetched live from OpenAlex

While engaged in a research project involving the use of visual methods with children, the authors discovered that there are many ethical considerations beyond what could have been predicted at the outset. Some of these considerations are important with respect to research with children in general, while others arise more particularly when using visual methods. Framed around the two broad categories of procedural ethics and ethics in practice, five areas of ethical concern are considered: (a) assent or willingness to participate, (b) informed consent and assent using visual methods, (c) issues of disclosure, (d) power imbalances, and (e) representations of the child. The authors propose that researcher reflexivity on ethically important moments lies at the heart of living ethical practice in qualitative research and that the ideals of enabling child safety, dignity, and voice serve as useful guides in the quest for ethical practices in research with children.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.281
GPT teacher head0.524
Teacher spread0.242 · 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