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Record W2916625621 · doi:10.18432/ari29403

The Quilt Speaks: Crafting Gender and Cultural Norms in Hawaii

2019· article· en· W2916625621 on OpenAlexvenueno aff
Una Kimokeo-Goes

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsQuiltQuiltingIndigenousGender studiesPoliticsSociologyIdentity (music)HistoryAestheticsPolitical scienceArtLawArchaeology

Abstract

fetched live from OpenAlex

When protestant missionaries first arrived in Hawaii in the early nineteenth century one of their first concerns was the nudity of the indigenous population and the introduction of cloth and sewing was an early priority. Their hope was that sewing would help turn these savages into appropriate Christians. However, with the introduction of fabric, thread, and metal needles, unexpected skills developed. Feminist scholars have often recognized that so-called “women’s crafts” hold important values. Quilting allows women to work collectively, to reflect on cultural and national values, and to offer political challenges. Analyzing the history of sewing in Hawaii and using the quilts themselves as texts, we can understand how Hawaiian quilts were able to fulfill many of the missionaries’ norms about Christian women, but also subvert aspects of the missionary belief system. Although the West gained influence in the islands, the Hawaiian quilt continued to voice the beliefs of native identity.

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)0.006
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 score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.411
Teacher spread0.353 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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