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Record W2592805892 · doi:10.25071/2369-7326.40256

Imaginary scenarios: Literature and Democracy in Europe

2016· article· en· W2592805892 on OpenAlexvenueno aff
Odile Heynders, Sander Bax

Bibliographic record

VenuePivot A Journal of Interdisciplinary Studies and Thought · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsThe ImaginaryPoliticsDemocracyAutonomyContext (archaeology)SociologyAestheticsPolitical scienceHistoryArtLawPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

The main focus in this paper is on the European public intellectual: literary writers presenting their critical ideas and imaginaries on society, and critiquing the (dis)function and (dis)agreement in politics. The concept ‘imaginary scenario’ will be implemented to investigate imaginative scripts and settings constructed by authors to visualize democratic structures, as such commenting on political and social events and ideas. Two European writers from different nation-states, the French M. Houellebecq (Submission) and the Portugese Gonçalo M. Tavares (Learning to pray in the age of technique) build their novels around a Vorstellung of how (future) individuals and people in power could act and speak. Similarities and differences in these author’s strategies and visionaries will be examined. The ‘imaginary scenario’ is based on Charles Taylor (2004) and Elena Esposito (2007), and as surreal-perspective evidently tells something about the experience of the present. Our claim is that these European writers have to be considered in a critical context beyond the save haven of autonomy: in their novels they address the reader as citizen and invite him to reflect on democratic practices. Thus, these European scenarists prompt us to reconsider what it means to live in the EU and to reflect on its political realities and perspectives.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.027
GPT teacher head0.370
Teacher spread0.343 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePivot A Journal of Interdisciplinary Studies and ThoughtSame topicFoucault, Power, and EthicsFrench-language works237,207