The authoritarian surveillant assemblage: Authoritarian state surveillance in Turkey
Bibliographic record
Abstract
Abstract This article examines Turkey’s authoritarian state surveillance regime by developing the concept of the authoritarian surveillant assemblage (ASA), building on and expanding the concept of the surveillant assemblage (SA). Turkey’s ASA is the outcome of diverse surveillance systems, which continuously expand their reach, form new connections and incorporate new actors. These systems include a protest and dissent surveillance system, an internet surveillance system, a synoptic media surveillance system and an informant–collaborator surveillance system. Turkey’s ASA is controlled by the Turkish state and serves its repressive interests. Although pivotal in emphasizing the complexity of surveillance connections and increasing diversification of and collaboration among surveillance actors, the SA model of surveillance puts the main emphasis on decentralized, uncoordinated and multifaceted forms of surveillance, and does not offer sufficient analytical space to understand how an authoritarian state could coordinate diverse surveillance systems and use it for the overarching purpose of control. The article draws on Michael Mann’s theory of state power and the authoritarian state to address these limitations of the SA and conceptualize the ASA. It shows how the diverse systems of Turkey’s ASA work in concert with one another under the hierarchical command of Erdoğan’s Justice and Development Party (AKP) to control the population and suppress dissent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".