Bibliographic record
Abstract
Abstract | This essay uses the topic of taste, specifically taste for food, as a way of unpacking the history of the GDR and East-West relations during the late Cold War. It explores the question of East German tastes from two angles: West German fantasies about the inadequacies of the GDR’s food system, and East German nutritionists’ unsuccessful struggles to regulate popular tastes. In particular, it focuses on the moment when popular taste was seen as a serious problem by the GDR state—during the rise of the obesity epidemic in the 1970s and 1980s. Résumé | Cet essai utilise le thème du goût, spécifiquement le goût pour la nourriture, comme un moyen de dévoiler l’histoire de la RDA et les relations Est-Ouest pendant la fin de la guerre froide. Il examine la question des goûts de l’Allemagne de l’Est sous deux angles: Les fantaisies des ouest-allemands sur les insuffisances du système alimentaire de la RDA, et les luttes infructueuses des spécialistes de la nutrition est-allemands pour réglementer les goûts populaires. L’essai se concentre en particulière sur le moment où le goût populaire a été considéré comme un problème grave par l’état de la RDA—pendant l’augmentation de l’épidémie d’obésité dans les années 1970 et 1980.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".