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Record W3133634384 · doi:10.26522/ssj.v15i2.2431

Stitching Language: Sounding Voice in the Art Practice of Vanessa Dion Fletcher

2021· article· en· W3133634384 on OpenAlexaffvenue
Stephanie Springgay

Bibliographic record

VenueStudies in Social Justice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIndigenousSociologySovereigntyGender studiesColonialismQueerLonelinessAestheticsPsychologyArtPolitical scienceSocial psychologyPoliticsLaw

Abstract

fetched live from OpenAlex

This paper engages with the artistic practice and work of Vanessa Dion Fletcher (Potawatomi and Lenapé) from my perspective as a non-Indigenous academic and curator. Dion Fletcher and I have worked together over the past several years through discussions about her work, studio visits, and various events. In her art practice, Dion Fletcher uses porcupine quills and menstrual blood to inquire into a range of issues and concepts including Indigenous language revitalization, feminist Indigenous corporeality, Land as pedagogy, decolonization, and neurodiversity. In particular her work confronts the ways that Indigeneity, the queer and gendered body, and disability are rendered expendable. In this paper I engage with Dylan Robinson’s “sovereign sense”: a transcorporeal mode of perception that is affective, land-based, and formed through relations between human and non-humans. Dion Fletcher’s work makes palpable this sense of sovereignty through its unruly and mutating feltness. Further, her work makes visible feminist Indigenous artistic acts of resurgence alongside the frictions at the intersections of settler colonialism and disability. Following Karyn Recollet, I contend that Dion Fletcher’s work activates an Indigenous affective experience of futurity and creative intimacy that in turn imagines disability and Indigeneity as sites through which new pedagogical relations can be formed.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.095
GPT teacher head0.466
Teacher spread0.372 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes2
Has abstractyes

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