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Record W3139370375 · doi:10.1177/1609406920987934

Silent Voices, Absent Bodies, and Quiet Methods: Revisiting the Processes and Outcomes of Personal Knowledge Production Through Body-Mapping Methodologies Among Indigenous Youth

2021· article· en· W3139370375 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Qualitative Methods · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNarrativeIndigenousSociologyAestheticsProblematizationPersonal narrativePsychologyEpistemologyArtLiterature

Abstract

fetched live from OpenAlex

At the interface of Western and Indigenous research methodologies, this paper revisits the place of the “personal” and “autobiographical” self in qualitative visual research. We outline a community and partnership-based evaluation of a theater program for Indigenous youth using arts-based body-mapping approaches in Saskatoon, Canada, and explore the methodological limitations of the narrator or artist’s voice and representations to translate personal visual-narratives and personal knowledges they hold. In so doing, we describe how body-mapping methods were adapted and improvised to respond to the silent voices and absent bodies within personal visual-narratives with an epistemological eclecticism handling the limitations of voice and meaningfully engaging the potentiality of quietness. Extending the conceptual and methodological boundaries of the “personal” and “autobiographical” for both narrator and interlocutor, artist and observer, we contribute to debates on the processes and outcomes of personal knowledge production by articulating a generative, ethical, and culturally-grounded project mobilizing body-mapping as a quiet method that pursues self-work—the passionate and emergent practices of working on one’s self and making self appear in non-representational and ceremonial ways.

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)0.071
metaresearch head score (Gemma)0.118
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.390
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0710.118
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.894
GPT teacher head0.745
Teacher spread0.148 · 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