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Record W3121992491 · doi:10.1177/1532708620987260

(Re)storying Japanese Canadian Histories: Artistic Engagements

2021· article· en· W3121992491 on OpenAlexafffundabout
Matthew Chin, Izumi Sakamoto, Jane Ku, Ai Yamamoto

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of WindsorUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSubjectivityAestheticsIdentity (music)NarrativeContext (archaeology)SociologyHistoryGender studiesLiteratureArtEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This paper examines how Japanese Canadian (JC) artists challenge discursive limitations of constructing representations of JC pasts. Their interventions into JC history-making are significant given the rise of interest in and proliferation of JC historical accounts, partly as a result of the accelerated passing of the remaining survivors of JC incarceration within a broader context of unsettled and unsettling discourses around incarceration in JC families and communities. Contrary to narratives of JC history premised on the conventions of academic history writing, we explore how JC artists engage with the past through their creative practices. Focusing on JC artist Emma Nishimura’s exhibit, The weight of what cannot be remembered, we suggest that JC creative history-making practices have important implications for processes of ethno-racial and-cultural identity formation. In so doing, we decenter state-bound history-making processes that reproduce colonial frameworks of JC subjectivity, temporal linearity, and “objectivity.” Instead, we focus on the temporally circuitous way that Nishimura and other JC artists engage with the past through the idiom of personal intimacy in ways that facilitate a more expansive notion of JC identity and community. Though Nishimura’s work is indexical as opposed to representative of contemporary JC art-making, it is significant in tapping into a common structure of feeling among JC artists that emphasizes a notion of JC’ness rooted in the active struggle to establish a relationship with the past. In attending to Nishimura’s work, we highlight the productivity of art-making as a method of (re)storying to expand meaning-making endeavors within and across communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0380.022
Scholarly communication0.0110.004
Open science0.0030.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.784
GPT teacher head0.674
Teacher spread0.110 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes3
Has abstractyes

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