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Record W7128488191 · doi:10.1163/23523085-10120017

Between Here and There: on the Adaptation of mena/swana Diasporic Artists in Canada

2025· article· W7128488191 on OpenAlexaboutno aff
Fatma Hendawy Yehia

Bibliographic record

VenueAsian Diasporic Visual Cultures and the Americas · 2025
Typearticle
Language
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsForegroundingExhibitionIdentity (music)NegotiationIndigenousNarrativeTransculturationAdaptation (eye)Politics

Abstract

fetched live from OpenAlex

Abstract This article explores how mena/swana diasporic artists in Canada adapt to western cultural, social, and political environments through their artistic practices. Drawing on the author’s curatorial projects and exhibitions Garden of Broken Shadows (Critical Distance Centre for Curators, 2023) and As We Move Away from the Sun (Allan Gardens, 2024), the article examines how diasporic artists negotiate belonging, land, and identity beyond tokenizing frameworks often imposed by Western institutions. Through close analysis of artworks by Lamis Haggag and Anahita Norouzi , the author argues that practices rooted in care, grief, and connection to the land can redefine immigrants’ adaptation as a reciprocal and ongoing process of reclamation rather than a linear form of integration. The article situates these curatorial projects within broader histories of funding, censorship, and the collapse of independent art spaces in the mena/swana region following the 2011 Arab Spring. It links these histories to the lived experiences of artists who continue to navigate the complexities of migration and postcolonial realities within Canada’s cultural landscape. By foregrounding indigenous and anticolonial perceptions of adaptation, the article proposes a curatorial approach and practice that resist institutional tokenization and reclaims diasporic narratives as spaces of healing, relation, and self-definition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.017
GPT teacher head0.303
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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