The Moral Career of a Suspected Legionary: Psychological Language in the Securitate Archives
Bibliographic record
Abstract
This article explores some notable uses of psychological language in the Securitate archives. We examine Securitate files concerning Constantin Vaman, a suspected legionary subjected to surveillance work by the Securitate. This article seeks to show how Securitate activities, particularly the writing of informer notes and operatives’ reports, are the upshot of strategic use of morally implicative psychological language. Constantin Vaman’s Securitate files are used to explore two categories of psychological language: the language of mental states and the language of disposition and motive. We show that Securitate’s writing of informer notes and operatives’ reports were dependent on the strategic use of morally implicative psychological descriptions. We argue that close attention to the many facets of psychological language used in Securitate documents discussed in this article may enable researchers to understand more fully the complex nature and inner workings of surveillance work.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".