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Record W6980173254

BEING ON THIS BOAT IS NOT REVENGE

2022· other· en· W6980173254 on OpenAlexaboutno aff

Bibliographic record

VenueRADAR (Glasgow School of Art) · 2022
Typeother
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsnot available
Fundersnot available
KeywordsSensibilityIdentity (music)Event (particle physics)Class (philosophy)AliasPoliticsSound (geography)
DOInot available

Abstract

fetched live from OpenAlex

This is the second output of Alias Domains, a research collaboration with co-investigator Sukaina Kubba (sukaina.kubba@daniels.utoronto.ca). This was a radio production commissioned by Radiophrenia/CCA as a main feature of the Live To Air Festival and co-funded by Canada Council for The Arts. This consisted of a series of live radio performances and a recording, applying aspects of our research to current thinking around identity by exploring poet-philosopher Édouard Glissant' s alternative: relation. The format of the event evoked Glissant’s multifaceted sensibility by combining choreographed readings, sound and music to invoke responses and discussions around the politics of identity and social class amongst fellow contributors and wider audiences.

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)0.002
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.014
Scholarly communication0.0090.008
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0350.018

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 head0.021
GPT teacher head0.264
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 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
Published2022
Admission routes1
Has abstractyes

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