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Record W4378745964 · doi:10.1111/nin.12564

A critical examination of epistemological congruence between intersectionality and feminist poststructuralism: Toward an integrated framework for health research

2023· article· en· W4378745964 on OpenAlexaff
Andrea Willett, Josephine Etowa

Bibliographic record

VenueNursing Inquiry · 2023
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntersectionalityPraxisSociologyRealmInjusticeEpistemologyFeminismGender studiesFeminist epistemologyFeminist theorySocial psychologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

The theoretical perspectives of intersectionality and poststructuralism have contributed meaningfully to advancing issues of social injustice within the realm of women's health research. However, the question of whether the two approaches are epistemologically commensurate has been at the heart of a polarized debate within third- and fourth-wave feminist literature in recent years. In this paper, we draw on the extant literature to explore existing dilemmas within this debate and critically reflect on points of epistemological tension and congruence between the two perspectives. It will be demonstrated that intersectionality and poststructuralism, especially feminist poststructuralism, represent concordant theoretical perspectives and a synthesized theoretical framework for application in qualitative research into women's health will be proposed. We argue that an intersectional feminist poststructuralist framework contributes to a deepened analysis of women's disparate healthcare experiences, and the social mechanisms, power relations, and discourses that mediate these experiences, while offering avenues for advocacy and political praxis on a multitude of levels.

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 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)0.009
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.527
GPT teacher head0.626
Teacher spread0.099 · 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 teacher head, not a consensus.

Study designObservational
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

Citations9
Published2023
Admission routes1
Has abstractyes

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