Bibliographic record
Abstract
This special issue of the Journal of Cloth and Culture is dedicated to Magdalena Abakanowicz who died in April 2017. A number of key curators (Marian Boot, Dominik Kurlek, and Mary Jane Jacob), critics (Jasia Reichardt), art historians (Irena Huml, Marta Kowalewska, and Michal Jachula), artists (Agnieszka Golda), and those who were either taught by Abakanowicz at the Academy of Fine Arts in Poznan, Poland (Anna Goebel, Michelle Héon, and Patricia Leighton), or those who worked with her (Henryk Gac), remember her through many different voices of experience that could be shared with a wider community of practices (Jutta Feddersen). Some authors have revised and edited an already published essay but translated it from Polish to English, or have reworked an essay in a catalog that has not been widely published internationally. The authors come from various countries and regions of the world, from Canada to Paris, from America to Australia, from the UK to Poland.Essays from Marta Kowaleska and an interview between Kowaleska, Michal Jachula, and Irena Huml place the contribution Abakanowicz made within the broader context of Polish tapestry and Polish culture from the 1960s.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.436 | 0.225 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".