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Record W3141101723 · doi:10.1080/1472586x.2021.1899849

‘Through my eyes’: feminist self-portraits of Osteogenesis Imperfecta as arts-based knowledge translation

2021· article· en· W3141101723 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

VenueVisual Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsHospital for Sick ChildrenYork UniversityUniversity of Toronto
Fundersnot available
KeywordsPhotovoicePortraitThe artsSociologyIdentity (music)Disability studiesIntersectionalityInclusion (mineral)Gender studiesPsychologyAestheticsVisual artsArt

Abstract

fetched live from OpenAlex

In this paper, we present an exploration of arts-based knowledge translation through photography highlighting the lived experience of Osteogenesis Imperfecta (OI), a genetic disorder. It forms part of our larger photovoice research project that involved six female photographers with physical impairment. This group of women shared their personal experiences through photographic stories to challenge pervasive, limiting negative attitudes and assumptions that surround disability. In this paper, we focus on the data, analysis and discussion to one type of impairment, OI, and two photographers’ work to present their:embodied expertise and knowledge of living with OI;self-portraits as contemporary disability identity, contributing to intersectionality in feminist and disability arenas;authentic voice as co-authors of this paper using Drew and Guillemin’s interpretive engagement framework;original arts-based research insights currently absent in the meagre qualitative research on OI. By presenting, analysing and interpreting self-portraits of OI as valuable arts-based knowledge, we hope to provide readers with a better understanding of disability and femininity as a pathway to greater inclusion.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.465
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.158
GPT teacher head0.488
Teacher spread0.329 · 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