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Record W2935342198 · doi:10.1080/09540253.2019.1594708

Quiltmaking among African-American women as a pedagogy of care, empowerment, and sisterhood

2019· article· en· W2935342198 on OpenAlexaff
Alana Butler

Bibliographic record

VenueGender and Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsQueen's University
Fundersnot available
KeywordsGender studiesSociologyOppressionSolidarityPatriarchyRacismEmpowermentPoliticsFeminismResistance (ecology)Political scienceLaw

Abstract

fetched live from OpenAlex

Quiltmaking has historically been an art form and socio-political tool among African-American women. This paper will examine quiltmaking among African-American women as a radical form of pedagogy that is grounded in an ethic of care. From the historical roots of slavery to contemporary social movements like Black Lives Matter, African-American women have taught each other quiltmaking while forming close bonds of sisterhood to resist racism, oppression, and patriarchy. Drawing on Black feminist thought, this paper will show how quilt-making is connected to an ethic of care in African-American culture that is called ‘othermothering.’ The idea of ‘othermothering’ has its origin in African traditions and refers to women who share mothering duties [Collins, P. 2000. Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. New York, NY: Routledge]. Quiltmaking practices permit the formation of bonds formed through ‘othermothering’ that support sisterhood, solidarity, and resistance.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.008
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.279
Teacher spread0.260 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

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