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Record W2756028556 · doi:10.24908/ss.v15i3/4.6614

The Making of a Totalitarian Surveillance Machine: Surveillance in Turkey Under AKP Rule

2017· article· en· W2756028556 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurveillance & Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsYork University
Fundersnot available
KeywordsDissentCivil libertiesElectronic surveillanceState (computer science)Political scienceLawThe InternetRule of lawComputer sciencePolitics

Abstract

fetched live from OpenAlex

This article examines surveillance initiatives under the AKP rule in Turkey (2002-present). The AKP had first tested and perfected surveillance methods, including wiretapping, internet surveillance and surveillance by collaborator-informant networks, over its key opponents and dissidents to capture the state apparatus and later applied similar methods to govern the entire society. In the aftermath of the 2013 Gezi protests, surveillance began to have a mass character, even though targeted surveillance practices continued. Fearful of another popular public revolt, the AKP established a mass surveillance mechanism and empowered it by new amendments to security and communication laws, to pre-empt and suppress public dissent. The recent state of emergency measures following the failed coup attempt in July 2016 represented a further drift towards totalitarian surveillance. The personal liberties were suspended and the state of exception became a permanent condition.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.329
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it