Bibliographic record
Abstract
Abstract | The visual essay is based on research carried out between 2010 and 2015 under the title “Bodies of Crisis—Remembering the German Wende.” The project mainly consisted of oral-history research and a series of performance events presented in the UK and Germany. In 27 interviews, women from East Germany recollected their embodied quotidian experience amidst the political transition from a socialist to a capitalist state in 1989 and thereafter. Live performance opened up access points for a transcultural translation of this experience involving practitioners from diverse cultural and creative backgrounds. The performance work extended the culturally specific experience beyond the East German case by pointing toward global struggles for existence, acceptance, and emancipation. Résumé | Cet essai visuel est le résultat du projet d’études «Bodies of Crisis – Remembering the German Wende» (Corps de la crise – Souvenir de la chute du Mur), réalisé à l’Université de Warwick de 2010 à 2015. Au moyen de 27 interviews, des femmes de l’Allemagne de l’Est se sont remémoré les expériences corporelles de leur vie quotidienne pendant l’époque troublée de 1989 et 1990. Ces interviews ont jeté la base d’un spectacle vivant impliquant des artistes variés, ouvrant un espace d’expression transculturel et artistique de ces expériences de temps de crise. La performance a montré l’universalité des expériences spécifiques de l’Allemagne de l’Est au regard des enjeux mondiaux que sont la survie, la reconnaissance et l’émancipation.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".