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Record W4404344469 · doi:10.4324/9781003467731-6

Trying Out Shit!

2024· book-chapter· en· W4404344469 on OpenAlexaff
Danielle Wilde, Tau Ulv Lenskjold

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsShitArtArt history

Abstract

fetched live from OpenAlex

In this chapter, we consider our symbiotic relationships with our gut microbiome and how these relationships are increasingly serving as a site for experimental design. We briefly overview existing work at the intersection of design and microbes, then turn to our case: the Shit! project, an inquiry into the methodological challenges of designing with microbes. Through experimental activities, such as gut drawings, performing the inner workings of the gastrointestinal tract and fashioning probiotic cakes with the semblance of one’s fæces, we consider material and collaborative explorations of human-microbe relationships, and what it might engender to invite participants to engage with themselves as multi-species events; as part of the planetary ecosystem. This engagement personifies, through practice with others, an embodied engagement with the materiality of what is at stake. The Shit! project embodies an evolving inquiry into the role of method in opening up new spaces for design, and exemplifies an emerging approach to more-than-human design in practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.539
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.011

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 head0.043
GPT teacher head0.285
Teacher spread0.243 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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