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Record W7066824848

Jan Wade : Soul Power

2022· book· en· W7066824848 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2022
Typebook
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaGestational periodPretextLiquation
DOInot available

Abstract

fetched live from OpenAlex

"Jan Wade: Soul Power accompanies the highly-anticipated exhibition at the Vancouver Art Gallery (July 10, 2021 to March 13, 2022). The exhibition is a survey of Vancouver artist Jan Wade’s rich body of work from the 1990s to the present. Jan Wade: Soul Power marks the first solo exhibition by a Black female artist in the 90-year history of the Gallery. The book both honours and documents her compelling but underrecognized practice, which reflects her lived experience as an African Canadian person of mixed cultural heritage. \n \nComprising mixed media assemblages, paintings, sculptural pieces and textiles made from found or ready-made objects and recycled materials, her art explores the places and practices of her ancestors alongside contemporary political concerns and social movements such as Black Lives Matter. The book will serve as an important resource and record of her more than three decade career. Featuring new photography of works in the exhibition, scholarly essays by prominent artist Deanna Bowen and writer Wayde Compton, and Wade’s own writings, the publication will reveal her important contribution to the history of art making in Vancouver and redress her place in contemporary Canadian art." -- Publisher's website.

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)0.000
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 score0.278
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0520.016

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 head0.032
GPT teacher head0.233
Teacher spread0.201 · 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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