MIGRATIONS. POSTCARDS FROM ARTISTS AROUND THE WORLD
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.344 | 0.183 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".