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Record W7020840849

MIGRATIONS. POSTCARDS FROM ARTISTS AROUND THE WORLD

2021· other· en· W7020840849 on OpenAlexaboutno aff

Bibliographic record

VenueWorcester Research and Publications (University of Worcester) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsHomelandTheme (computing)SolidarityOrder (exchange)Homeland securityPerformance art
DOInot available

Abstract

fetched live from OpenAlex

Temporary or permanent, voluntary or forced: Migration has many facets. In search of freedom, security and better living conditions, many people leave their familiar homeland and venture on an often dangerous journey into the unknown in order to find a future worth living for themselves and their families. Inspired by the International Centre for the Picture Book in Society (ICPBS) at the University of Worcester in England, illustrators from around the world have designed postcards on the theme of migration to show solidarity with the hundreds of thousands of people facing such daunting dangers today. So far, over 300 postcards have been created, showing a wide range of styles and moods. Sometimes abstract, sometimes realistic, funny or touching, surprising or thoughtful, and accompanied by short, very personal texts, Isol (Argentina), Marie-Louise Gay (Canada), Chris Riddell (GB), Stian Hole (Norway), Shaun Tan (Australia), Axel Scheffler (Germany/GB) and many other artists deal with the current topic. The treasures that have "flown" to the ICPBS team since 2017 have already been exhibited in several countries. In the Hallway-Gallery of the International Youth Library, not only reproductions of all postcards are on display, also international picture books, non-fiction books and graphic novels from the library's own collection can be seen. In addition, ten illustrators have created short video clips in which they share their thoughts on the topic - especially for the Munich exhibition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.080
GPT teacher head0.325
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueWorcester Research and Publications (University of Worcester)French-language works237,207