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Record W2731474328

Super Toys Last All Summer Long

2017· dissertation· en· W2731474328 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsExhibitionNegotiationIdentity (music)MediationIdentity negotiationImmigrationAestheticsSociologyDisplacement (psychology)PsychologySocial psychologyVisual artsArtPolitical sciencePsychoanalysisLawSocial science
DOInot available

Abstract

fetched live from OpenAlex

Super Toys Last All Summer Long is an exhibition that investigates the negotiation of migrant cultural identity in the collective immigrant experience and, specifically, the operation of selfhood. Through the examination of hybridized identity and its mediation the exhibition considers the consequences of ‘involuntary’ displacement understood as the process of relocating from one source of culture to another. The exhibition seeks to highlight the associations attached to objects by immigrants and to make an assessment of culture in its material and psychological dimensions. Through the use of consumer products, technology and mementos I assemble a hybrid identity to relive the psychological tension caused by my dualistic identity. The works in Super Toys Last All Summer Long are informed by my personal memories and experiences as an immigrant living in North America, and the exhibition investigates both the effects of displacement on individual memory, and the translation of those memories. 
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\nKey Words: negotiation, hybrid, culture, identity, immigrant, memory, translation, assemble, objects, installation

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0020.002
Open science0.0040.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.158
GPT teacher head0.327
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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