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Record W4415820710 · doi:10.33682/tkz6-xwym

On Border and Identity: A Performative Reflection from an Applied Theatre Project

2021· article· en· W4415820710 on OpenAlexaffabout
Taiwo Afolabi

Bibliographic record

VenueArtsPraxis · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInterdisciplinary Cultural and Social Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPerformative utteranceThe artsFocus (optics)Identity (music)Displacement (psychology)Cultural identityPerforming artsReflection (computer programming)

Abstract

fetched live from OpenAlex

As an artist-scholar, I query: In what ways does border perform, (dis)connect, alter, shift dissolve and (re)imagine identity? Migration is essential to human existence in this present 'postnormal times' characterized by chaos, contradictions, global displacement and neoliberal realities (Ziauddin, 2010). From voluntary to forced migration, border shifts as living and non-living things move, and it is constantly being re/negotiated. Beyond physical or territorial border navigated in migration, cultures and arts transverse boundaries because people move with cultural practices, beliefs and traditions. For instance, as migrants' cultural practices and art forms trans-border, culture becomes a mobile apparatus that constantly changes and shifts from one form to another. As an autobiographical piece, in this article, I focus on the experience of the individual [me] to explore how my migratory and mobility experiences shape my identity and in turn find expression in my artistic practice. I engaged the notion of root and routes to articulate the fact that I'm in constant motion of 'shifting identities' (Bhavnani & Phoenix, 1994) and creating my own 'imagined communities' (Anderson, 1991). I focus on my performance in an applied theatre project with refugees, immigrants, and international students in Victoria, British Columbia, Canada.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

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 studies0.0020.000
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 head0.034
GPT teacher head0.406
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

Citations0
Published2021
Admission routes2
Has abstractyes

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