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Record W7044167505

World Book Night 2024 United Artists 'In Praise of Birds':Flaubert's Parrot

2024· other· en· W7044167505 on OpenAlexaboutno aff

Bibliographic record

VenueHuddersfield Research Portal (University of Huddersfield) · 2024
Typeother
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsPraiseExhibitionReading (process)ThursdayGeorge (robot)
DOInot available

Abstract

fetched live from OpenAlex

For World Book Night 2024 – In Praise of Birds, WBN United Artists invited participation through reading and responding to a text or book about birds and sending us a postcard about it. 200+ artists responded to our call, with 250+ postcards winging their way to UWE from: Argentina, Australia, Austria, Brazil, Canada, France, Germany, Hong Kong, India, Ireland, Israel, Italy, Malaysia, the Netherlands, New Zealand, Norway, Pakistan, Poland, Portugal, Russia, South Africa, Sweden, Switzerland, Taiwan, Turkey, UK and USA. We are sharing the postcards in two exhibitions, a physical one here at Bower Ashton Library, UWE Bristol, UK, 19th April – 30th June 2024, and printout posters featuring all the postcards at the Learning Resources Centre, Hong Kong Design Institute (HKDI), 1st September – 31st October 2024. Alongside the main exhibition is a display of 72 postcards made by students at HKDI. After the exhibition in Bristol, physical postcards will be swapped and sent out to participating artists with an extra gift from WBN2024 of commissioned postcards designed by rubber stamp king Stephen Fowler.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.366
Threshold uncertainty score0.904

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3660.122

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 head0.086
GPT teacher head0.323
Teacher spread0.236 · 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.

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
Published2024
Admission routes1
Has abstractyes

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