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Record W7162193442 · doi:10.59236/emro.v25i3a7961

Following the Thread

2023· article· W7162193442 on OpenAlexaboutno aff
Andrew Koval

Bibliographic record

VenueEducational Media Reviews Online · 2023
Typearticle
Language
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsWeavingThread (computing)TextileTextile designTheme (computing)Cultural identity

Abstract

fetched live from OpenAlex

Distributed by Documentary Educational Resources, 108 Water Street, 5A, Watertown, MA 02472; 617-926-0491Produced by Kathy BrewDirected by Kathy Brew2021, Streaming, 22 mins Brew’s Following the Thread explores the textile weaving traditions of the Andean people. This concise piece apprises viewers to the values of Andean weaving groups, efforts made to continue the tradition, as well as the manufacturing process of weaving traditional textiles in the Andean community. The textiles act as a cultural identity document. The want to improve on their ancestors’ labor-intensive weaving is made apparent. This is collectively supported through first person interviews from members of the Andean weaving community. Pleasant in tone, a quiet informative cinematic experience. A companion piece pertaining to the theme of cultural preservation is the film The Hadza: The Last of the First. Best suited for collections seeking an introductory topic on the Andean culture that can help facilitate critical classroom discussions and essay writing exercises. Awards:Honorable Mention, Toronto International Women Film Festival, 2021

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.674
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.6740.448

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 head0.151
GPT teacher head0.358
Teacher spread0.207 · 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.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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