A Book, a Securitate File, and a Research Project. On Gossiping and Ethnography
Bibliographic record
Abstract
Katherine Verdery’s latest book, an ethnography of the Archive of Romania’s Secret Police and the permission to copy and study a Securitate file, that of Iuliana, represents, for the author, the opportunity to write an unusual book review. Superposing the book and the file allows her to reflect on the work of secret police officers and that of ethnographers as well as questioning the practice of the sociological observer. As it turns out, the file adds a new dimension and an interpretation key to the book: beyond the importance of networks or social relationships as material secret police officers and ethnographers share, it discloses gossip as an empirical source and a recruitment technique. Centering on gossip helps the author in reformulating one of the book’s central arguments and delineating the contours of the “bourgeois,” a figure at the core of a new research project. The extreme character of the two cases at hand—material constituted toward a political end—sheds light on the relations ethnographers entertain to their informants as well as to dilemmas of research, which might otherwise remain unseen.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".