MétaCan
Menu
Back to cohort
Record W4387972599 · doi:10.1080/13621025.2023.2271867

Posthuman citizenship

2023· article· en· W4387972599 on OpenAlex
Çağdaş Dedeoğlu

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 · 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.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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