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Record W2001121183 · doi:10.1177/1077800406288626

An Irigarayan Framework and Resymbolization in an Arts-Informed Research Process

2006· article· en· W2001121183 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 Inquiry · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsThe artsSociologyProcess (computing)EthnographyEpistemologyWork (physics)Visual artsAestheticsArtComputer sciencePhilosophyEngineeringAnthropology

Abstract

fetched live from OpenAlex

This article discusses two distinct forms of resymbolization within an arts-informed research process. The particular research outlined herein involves the work of a group of women, including the author as participant-researcher, who investigated difficult experiences in teaching through writing, and who responded to one another’s stories through the use of various artistic media including paint, crayons, modeling clay, fabric, and blocks. The group’s over-arching purpose was to problematize the taken-for-granted ways that they had interpreted such experiences. The two distinct forms of resymbolization outlined in this paper occurred, in the first instance, during the work of the group, and in the second instance, during the author’s process of writing about the research. Through this paper, the author also works toward providing a theoretical framework that demonstrates why resymbolization is a crucial component of this arts-informed process. In doing so, the author draws on the work of feminist philosopher Luce Irigaray.

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)0.025
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.002
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 head0.870
GPT teacher head0.797
Teacher spread0.073 · 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