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Record W4281887756 · doi:10.3390/philosophies7030059

Žižek’s Hegel, Feminist Theory, and Care Ethics

2022· article· en· W4281887756 on OpenAlexaff
Sacha Ghandeharian

Bibliographic record

VenuePhilosophies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsCarleton University
Fundersnot available
KeywordsHegelianismSubjectivityEpistemologySubject (documents)Feminist ethicsFeminist philosophyEthics of careSociologyFeminist theoryNormative ethicsMeta-ethicsContingencyPhilosophyFeminismInformation ethicsPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

This article presents conceptual bridges that exist between the philosophy of G.W.F Hegel and a feminist ethics of care. To do so, it engages with Slavoj Žižek’s contemporary reading of Hegel in concert with existing feminist interpretations of Hegel’s thought. The goal of doing so is to demonstrate how both Žižek and a selection of critical feminist thinkers interpret Hegel’s perspective on the nature of subjectivity, intersubjective relations and the relationship between the subject and the world it inhabits, in a way that can further our thinking on the feminist ethics of care as a relational and contextualist ethics that foregrounds vulnerability as a condition of existence. These readings of Hegel highlight the radical contingency of human subjectivity, as well as the relationship between human subjectivity and the external world, in a way that is compatible with the feminist ethics of care’s emphasis on the particularity, fluidity, and interdependency of human relationships. I argue that this confrontation between care ethics and mainstream philosophy is valuable because it offers mutual contributions to both care ethics as a moral and political theory and the philosophy of Hegel and Žižek.

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 score0.011
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.063
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.366
Teacher spread0.292 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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