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Record W4404558262 · doi:10.38055/fst030102

Something Boro’d, Something Blue: An Analysis of Japanese Repair Practices and Material Scarcity

2024· article· en· W4404558262 on OpenAlexvenueno aff
Eric Larsen

Bibliographic record

VenueFashion Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsScarcityBOROBusinessEconomicsChemistryBoronMarket economy

Abstract

fetched live from OpenAlex

Boro, a Japanese textile tradition rooted in resource scarcity, has evolved from a practice of necessity to an art form celebrated globally.At its core, boro involves utilizing scraps and off-cuts for garment creation and repair, often resulting in multi-generational textiles characterized by layers of patches.While modern interpretations often focus on sustainability and craftsmanship, this reduction overlooks the socio-economic conditions that shaped boro in Japan's lower classes.Rectangular patchwork, indigo dye, and bast fibers became staples not by choice, but by necessity in a labour-rich, resource-poor economy.Though its origins lie in the shared struggles of those at the margins of society, today boro is a symbol of resilience and creativity.Boro has been revived as collectible artifacts and embraced as part of a philosophy which values the repurposing of goods.Whether reused in contemporary contexts like fashion or preserved as relics, boro's dynamic essence defies being confined to static forms.Its fullest expression lies in its continued use, honouring the layers of history embedded within each piece.

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)0.004
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 score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0050.004
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.220
GPT teacher head0.361
Teacher spread0.141 · 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

Citations0
Published2024
Admission routes1
Has abstractno

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