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Record W2898424083 · doi:10.1177/1469540518806939

A dialectical reflection on the emergence of the ‘citizen as consumer’ as neoliberal citizenship: The 2013 Brazilian protests

2018· article· en· W2898424083 on OpenAlexaff
Isleide Arruda Fontenelle, Marlei Pozzebon

Bibliographic record

VenueJournal of Consumer Culture · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsCitizenshipDialecticRationalityContext (archaeology)SociologyPoliticsConsumption (sociology)State (computer science)Neoliberalism (international relations)Political sciencePolitical economySocial scienceEpistemologyLaw

Abstract

fetched live from OpenAlex

In this article, we argue that citizenship conceived within a context of neoliberal rationality helps explain the emergence of what we term the ‘citizen as consumer’. We define the citizen as consumer as someone who relates to the state and the public realms from the private perspective of consumption. We ask how this emergent neoliberal citizen is configured in peripheral countries that are regarded as exemplifying ‘weak’ citizenship. To respond to this question, we consider the protests that occurred in Brazil in 2013 as an empirical illustration. Our main objective is to rethink the citizen/state relationship in consumer studies, employing a dialectical analysis to understand how the better-known consumer-citizen movement, in which the consumer acts as a citizen and gives birth, under a neoliberal rationality, to a movement that somehow disrupts these roles such that the citizen starts to act as a consumer. The Brazilian protests provide insights that advance debate on the scope and limits of the hybridisation between citizens and consumers and on the transformations in the relationship between citizenship and politics.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.296
Teacher spread0.258 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2018
Admission routes1
Has abstractyes

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