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Record W4327951980 · doi:10.3390/arts12020058

Reframing Migrant Narratives through Arts Practice

2023· article· en· W4327951980 on OpenAlexfundno aff
Elena Marchevska, Carolyn Defrin

Bibliographic record

VenueArts · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCognitive reframingNarrativeCitizen journalismThe artsSociologyDocumentationVisual artsMedia studiesRepresentation (politics)Government (linguistics)Public relationsAestheticsWork (physics)Political scienceArtPoliticsEngineeringLiteraturePsychologyLawSocial psychologyLinguistics

Abstract

fetched live from OpenAlex

In this article, we reflect on our collaborative practice-as-research piece Project Finding Home, that arose from our experiences of working and living in the UK as ‘non-British’ citizens. Engaging with other refugee and migrant artists over three years, we worked deliberately as co-researchers and co-creators in a non-hierarchical dynamic to produce a series of four films reflecting on how we find home when it is so impacted by government policy, social and cultural integration, and intergenerational relationships. This article focuses on two of these films, one made with the participatory theatre company of Sanctuary, PSYCHEdelight, and one made with conceptual artist, Khaled Barakeh. Through observations of their work, we discuss how their respective uses of comedy (in PSYCHEdelight’s show Mohand and Peter) and visual representation (in Barakeh’s installation On the Ropes) resist singular views of migrant narratives. Additionally, we analyse our creative and ethical processes for making films with them about their work. Discussing how their aesthetics informed our processes for showcasing who they are and what they do as artists to a wider audience, we examine how artistic practice, its documentation, and its dissemination can question dominant aesthetic norms and existing migration and cultural policies in the UK and Europe.

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)0.015
metaresearch head score (Gemma)0.015
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 score0.020
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0200.045
Scholarly communication0.0160.011
Open science0.0030.019
Research integrity0.0040.006
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 head0.707
GPT teacher head0.686
Teacher spread0.021 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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