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Record W12197629

Chewing chewing chewing social space

2007· dissertation· en· W12197629 on OpenAlexfundno aff
Emily Rosamond

Bibliographic record

VenueBangladesh Medical Research Council Bulletin · 2007
Typedissertation
Languageen
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChewing gumDentistryMedicineFood scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

for the shy is a multimedia installation based on a partially built, partially dismantled re-creation of the artist’s kitchen. It examines the desire to understand care and decay in social space, and to reckon with shared agency: given that sociality always occurs between agents, how can one locate an individual ethic of care? The paper begins by examining theories of sociality and interconnectivity based on eating. It examines sculptural action as “chewing” social space – as separating desire-as-lack (Lacan) from desiring-production (Deleuze and Guattari), and separating the “thing-ness” from the “sign-ness” of objects (Peirce). It considers the work within the contexts of architectural ornamentation and immersive installation art, and finally explores the problematic of communicating about the non-communicative state of shyness. The work locates care as an intermediary force between creation and destruction of subjectivities and social structures, both breaking and maintaining the bonds of socialization.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.202
GPT teacher head0.381
Teacher spread0.179 · 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 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
Published2007
Admission routes1
Has abstractyes

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