MétaCan
Menu
Back to cohort
Record W4383683062 · doi:10.1145/3563657.3596081

Turner Boxes and Bees: From Ambivalence to Diffraction

2023· article· en· W4383683062 on OpenAlexafffund
Ron Wakkary, Doenja Oogjes, Nazmus Sakib, Armi Behzad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsAmbivalenceNegotiationInterdependenceContext (archaeology)Resource (disambiguation)SociologyComputer sciencePsychologySocial psychologyBiologySocial science

Abstract

fetched live from OpenAlex

This paper is a Research through Design (RtD) investigation that deeply reflects on our ambivalence with three design choices we made while designing in a multispecies context. The ongoing RtD project, called Turner Boxes, aims to design a technological network to interact with wild bees in an urban environment. The design choices negotiate challenges we encountered, including the potential effects of electromagnetic fields (EMF) on bee ecologies; sucrose feeding as an established human-bee interaction; and the question of human intervention when designing in relation to other species. We analyze our negotiations of these challenges along with the practices of beekeepers and ecologists who were part of our investigation, to realize that ambivalence is a characteristic and a resource in multispecies designing. We extend this analysis through feminist epistemologies to articulate a position of diffraction, a standpoint from which to design in multispecies worlds in which interdependencies and differences are critical.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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 designBench or experimental
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

Citations37
Published2023
Admission routes2
Has abstractyes

Explore more

Same topicInsect and Arachnid Ecology and BehaviorFrench-language works237,207