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Record W4387972599 · doi:10.1080/13621025.2023.2271867

Posthuman citizenship

2023· article· en· W4387972599 on OpenAlexaff
Çağdaş Dedeoğlu

Bibliographic record

VenueCitizenship Studies · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsYorkville University
Fundersnot available
KeywordsPosthumanCitizenshipPoliticsPosthumanismAgency (philosophy)SociologyPolitical philosophyGender studiesPolitical scienceLawEpistemologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

Citizenship and the posthuman have not been often theorized together.In this paper, I want to think about their coalition both as a new episode in the efforts of politics for citizenship, including knowledge politics, and as a source of rebalancing power against governmental and corporate interests in citizenship politics.Here, I seek to address two questions: (1) What is posthuman citizenship?(2) What does posthuman citizenship bring to analysis of intersectional, complex, and multi-layered struggles of citizenship?Section I of the article addresses possible conceptual connections between citizenship and posthumanism at the posthuman political system level.Section II concentrates on a posthuman genealogy of citizenship to show why posthuman citizenship is a much-needed ontopolitical praxis.Section III details the main principles of posthuman citizenship with respect to mediation of rights, political agency, and political responsibility.The paper contributes to the understanding of politics of/for citizenship with two concepts: augmented political responsibility and posthuman deeds.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.056
Scholarly communication0.0050.007
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.315
GPT teacher head0.416
Teacher spread0.101 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2023
Admission routes1
Has abstractyes

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