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Record W3094698836

Chapter 1 Craft, Design and Nostalgia in Modern Japan : The Case of Sushi

2019· book-chapter· en· W3094698836 on OpenAlexaboutno aff
Robin Holt, Yutaka Yamauchi

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsCraftArtVisual artsHistoryArt history
DOInot available

Abstract

fetched live from OpenAlex

"This edited book focuses on the organization and meaning of craft work in contemporary society. It considers the relationship between craft and place and how this enables the construction of a meaningful relationship with objects of production and consumption. The book explores the significance of raw materials, the relationship between the body, the crafted object and the mind, and the importance of skill, knowledge and learning in the making process. Through this, it raises important questions about the role of craft in facing future challenges by challenging the logic of globalized production and consumption. \n \nThe Organization of Craft Work encompasses international analyses from the United States, France, Italy, Australia, Canada, the UK and Japan involving a diverse range of sectors, including brewing, food and wine production, clothing and shoe making, and perfumery. The book will be of interest to students and academic researchers in organization studies, marketing and consumer behaviour, business ethics, entrepreneurship, sociology of work, human resource management, cultural studies, geography, and fashion and design. In addition, the book will be of interest to practitioners and organizations with an interest in the development and promotion of craft work." \n

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.008
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.266
Teacher spread0.233 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

Explore more

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