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Record W4312242034 · doi:10.1525/joae.2022.3.4.526

Reclaiming the Maternal Metis Body

2022· article· en· W4312242034 on OpenAlexaboutno aff
Marilyn Metta

Bibliographic record

VenueJournal of Autoethnography · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsMetisGender studiesMedicalizationMythologyChildbirthSociologyResistance (ecology)CriminologyPsychologyPregnancyPsychiatryHistory

Abstract

fetched live from OpenAlex

This article provides a contemporary feminist autoethnographical account of my lived experiences of reclaiming my pregnant, birthing, and maternal bodies through intimate abuse and coercive control and beyond. Drawing from contemporary and culturally diverse feminist perspectives, I unpack the over-medicalization of pregnancy and childbirth and how it operates on a continuum of the systematic, institutional, cultural, and patriarchal gaze, surveillance, and control of women’s bodies. The paper will unpack the Battered Woman’s Syndrome as a problematic example of this clinical and medical patriarchal gaze and control and its prevalence in contemporary medical, psychological, and legal discourses relating to women living with intimate abuse and coercive control, and their bodies. I draw from my own personal experiences of pregnancy, childbirth, and mothering through intimate abuse and coercive control, the practice of zuò yuè zi, and the mythology of the Goddess Metis as sites of resistance, resilience, and resourcefulness that challenge the Western patriarchal gaze, surveillance, and control over women’s bodies. The paper will offer three alternative and counternarratives and ways of rethinking, reframing, and reimagining the pregnant, birthing, and maternal body as sites of resistance and resourcefulness through the ancient Greek mythology of Metis, the ancient Chinese practices of zuò yuè zi, and homebirth.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.265
Teacher spread0.204 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

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