Bibliographic record
Abstract
The German Democratic Republic (GDR) was in existence for 41 years. A single generation spent its whole professional life there – namely those born in the early 1930s who carried this state’s hopes. With Karl Mannheim’s notion of generations as a unit in the sociology of knowledge in mind, this article describes this generation’s typical experiences from the point of view of a particularly telling group: economists at the Humboldt University of Berlin. I present their socialization in Nazi Germany, their formative years in the aftermath of the Second World War that led to their choice of a politically driven profession, their studies during the first years of the GDR, when Stalinism was still the dominating dogma, and their commitment to a state career when writing their dissertations and habilitations. Ready to shoulder Honecker’s regime, their daily lives as professors were characterized by continuing attempts to reform teaching and research. In 1989 the ultimate reform transpired, and it encompassed the end of the state as well as of their professional careers. This narrative historicizes, on an experiential level, a tension often noted in GDR research, that between the ideological and productive functions of knowledge in socialism, that is, between loyalty and relevance.
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 | 0.002 |
| 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 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".