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Record W7034526061

Vanessa Richards: Singing Through the Dark — and Other Pandemic Pleasures | Below the Radar Conversations

2020· other· en· W7034526061 on OpenAlexaboutno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2020
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
Fundersnot available
KeywordsSingingConversationAction (physics)The artsPandemicStyle (visual arts)Dynamics (music)
DOInot available

Abstract

fetched live from OpenAlex

How do we come together to make and enjoy art in a time of physical distancing? Interdisciplinary artist and community organizer Vanessa Richards joins host Am Johal in his backyard for a physically distanced conversation about convening community through music during the pandemic. They discuss the challenges and opportunities of practising community-engaged arts over these past months; Vanessa’s experiences of virtually leading Van Van Song Society and Dancing in the Dark; and how Vancouver is responding to and participating in this moment of heightened community action for racial justice.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.133
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.003
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0400.008

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 head0.025
GPT teacher head0.199
Teacher spread0.174 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicHymenoptera taxonomy and phylogenyFrench-language works237,207