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Record W2033667958 · doi:10.1080/1362102042000256970

The neurotic citizen

2004· article· en· W2033667958 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

VenueCitizenship Studies · 2004
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsSubject (documents)Object (grammar)RationalitySociologyPower (physics)PoliticsState (computer science)CitizenshipEpistemologyPolitical scienceLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

Over the last three decades we have witnessed the birth of a subject that has constituted the foundations of a regime change in state societies: the neoliberal subject. As much as neoliberalism came to mean the withdrawal of the state from certain arenas, the decline of social citizenship, privatization, downloading, and so forth, it also meant, if not predicated upon, the production of an image of the subject as sufficient, calculating, responsible, autonomous, and unencumbered. While the latter point has been a topic of debate concerning the rational subject, I wish to argue that the rational subject has itself been predicated upon and accompanied by another subject: the neurotic subject. More recently, it is this neurotic subject that has become the object of various governmental projects whose conduct is based not merely on calculating rationalities but also arises from and responds to fears, anxieties and insecurities, which I consider as ‘governing through neurosis’. The rise of the neurotic citizen signals a new type of politics (neuropolitics) and power (neuropower). I suggest a new concept, neuroliberalism—a rationality of government that takes its subject as the neurotic citizen—as an object of analysis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.110
GPT teacher head0.394
Teacher spread0.285 · 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