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Record W4392858671 · doi:10.1093/isq/sqae009

A Feminist Critique of International Practices

2024· article· en· W4392858671 on OpenAlexaff
Alice Chessé, Maïka Sondarjee

Bibliographic record

VenueInternational Studies Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of OttawaMcGill University
Fundersnot available
KeywordsSociologyPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Abstract Feminist social theories, especially intersectional and decolonial ones, have been footnotes at best in practice-oriented research in international relations. This disciplinary exclusion of gender studies’ concepts from “international practice theories” (IPTs) or the "practice turn" has marginalized inquiries into power and reflexivity in action. As a result, IPTs have failed to theorize how practitioners’ reflexivity is shaped by local manifestations of systemic lines of difference like race, gender, coloniality, or class. This Theory Note argues that intersectional and decolonial feminist approaches can address this gap. We demonstrate that positionality and privilege condition practical reflexivity by shaping (1) normative interpretations of the world, (2) the content of social critique, and (3) the reception of such critique. Taking feminists as foundational theorists of international practices is critical to addressing some ontological challenges encountered by current IPT scholarship. In this Theory Note, we develop a productive conversation between the two bodies of literature around concepts of background knowledge and competence, which allows for a better understanding of the interplay of structural power and individual reflexivity in everyday interactions.

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)0.009
metaresearch head score (Gemma)0.011
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 score0.012
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.068
Scholarly communication0.0120.008
Open science0.0010.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.082
GPT teacher head0.475
Teacher spread0.393 · 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

Citations17
Published2024
Admission routes1
Has abstractyes

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