Zielgruppe Arzteschaft: Arzte als inoffizielle Mitarbeiter des Ministeriums fur Staatssicherheit
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
East Germans enjoyed free and universal access to medical care, free prescription drugs, and a sophisticated system of Polikliniken: health clinics that housed a range of medical services short of major surgery that are today considered a model of health organizations. Yet it is likely that every major medical centre in East Germany had at least one informant for the Ministry for State Security (Stasi), that approximately 3–5% of East German physicians were Stasi informants (a rate considerably higher than the roughly 1% in the general population), and that a significant percentage of those informants broke the Hippocratic oath by informing on patients. What are historians to make of health care in the GDR, or even of the dictatorship itself? Can a regime be truly ‘caring’ and ‘coercive’ at the same time, as claimed of late by so many historians of the GDR? Francesca Weil's outstanding work, an empirically based study of physicians who were Stasi informants, reveals the close ties between the repression apparatus and the health system. Based primarily on a review of 493 physician-informant files and twenty-one interviews from these informants, Weil examines a number of key questions that have become standard in studies of informants: the content and consequences of informant reports, motives to become an informant, Stasi recruitment tactics, and reasons behind the termination of the relationship.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.008 |
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 it