MétaCan
Menu
Back to cohort
Record W2566933662 · doi:10.1057/978-1-137-54305-9_18

Research by Artists: Critically Integrating Ethical Frameworks

2016· book-chapter· en· W2566933662 on OpenAlex
Lois Klassen

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

VenuePalgrave Macmillan US eBooks · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsFraming (construction)Citizen journalismParallelsEngineering ethicsResearch ethicsPerceptionPolitical scienceSociologyPsychologyEngineeringLaw

Abstract

fetched live from OpenAlex

The ethical framing of research by artists is an urgent area of concern for artists, research participants, and institutional ethics committees. Three themes emerging from key policy documents and rebuttals from Canada reveal a troubled integration of institutional ethical frameworks into sites of research by artists. First, research ethics review processes uncover unique challenges in situating artists’ research in academic worlds. Second, often overlooked within academia, non-institutional practice standards present relevant ethical framing for artist-researchers and reviewers. Third, the perception of institutional “ethics creep” as manifest in censorship lingers as a specter over the integration of research ethics structures in sites of research by artists. Finding parallels with community-based participatory research, a relational framework is proposed for critically integrating ethical frameworks into art research.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0250.002

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 head0.058
GPT teacher head0.336
Teacher spread0.278 · 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