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Record W4390653169 · doi:10.5840/symposium202327215

A Phenomenological Account of the Conditions of Transnational Feminism

2023· article· en· W4390653169 on OpenAlexvenueno aff
Shannon Hoff

Bibliographic record

VenueSymposium · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionPraxisPhenomenology (philosophy)FeminismSociologyOpposition (politics)EpistemologyConversationGender studiesAestheticsEnvironmental ethicsLawPhilosophyPoliticsPolitical science

Abstract

fetched live from OpenAlex

In Sites of Exposure, John Russon draws on the resources of phenomenology to describe how human life, while not having a “given” form specified in advance, nonetheless takes speci􀏔ic shape through practices by which we become committed to certain ways of living. This means that our lives are simultaneously a matter of living with a speci􀏔ic reality—what Russon calls “home”—and having to respond to an outside to which we are “exposed.” I argue here that Russon’s analysis is especially useful for feminist philosophy and its attempt to grapple with the possibility of universal principles of justice across cultural contexts, developing this philosophical framework in conversation with Serene Khader’s efforts to furnish a set of core values for transnational feminist praxis that, while universal in their opposition to sexist oppression, are not imperialist, and with Saba Mahmood’s critique of the parochial character of Western conceptions of freedom.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0110.046
Scholarly communication0.0080.015
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.042
GPT teacher head0.341
Teacher spread0.299 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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