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Record W135316470

Sisters and Others: The Power and Politics of WeavingSupplementary Weft Textiles in a Sa'dan Toraja Village

2012· article· en· W135316470 on OpenAlexfundno aff
Maria Christou

Bibliographic record

VenueLincoln (University of Nebraska) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
FundersUniversity of AlbertaLee Foundation
KeywordsPoliticsPower (physics)SociologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The weaving of textiles in Sa'dan Toraja, a district on the island of Sulawesi in Indonesia, is layered with many social and cultural influences. Based on my ethnographic fieldwork in three Sa'dan Toraja villages, I suggest the matriarchial social organization of the village life is the most significant factor influencing the production and sales of textiles. The status and hiearchy of the matriarchies is controlled by the local belief system adhered to by the Sa'dan Toraja known as adat. Several government proposals for weaving cooperatives have been assigned and distributed throughout the Sa'dan Toraja area, however only two have been accepted by the local population due to the social and political organization of the local hierarchial matriarchies. The weaving co-operative projects are supported by local government legislation, but when it is time for distribution of the funding only the weavers belonging to the hight status matriarchies will come forward and receive the funds. Weavers from lower status matriarchies will not come forward because by doing so they would be going against the religious and socio-cultural customs governing their society. The high status matriarchies also control the weaving of textiles by not sharing their knowledge of the supplementary weft techniques and most importantly, the knowledge of warping. Without this technical skill no weaving can take place. Traditional weaving knowledge is passed from one group of sisters to their daughters and shared only within this social group; thereby, preserving their knowledge and maintaining their exclusive status.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.260
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2012
Admission routes1
Has abstractyes

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