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Record W4400829785 · doi:10.1353/tech.2024.a933098

Crucibles of Craft: Home Workshops and Leisurely Striving in Twentieth-Century U.S. Woodworking Magazines

2024· article· en· W4400829785 on OpenAlexaboutno aff
Len Kuffert

Bibliographic record

VenueTechnology and Culture · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsHobbyCraftWoodworkingAdvertisingEngineeringVisual artsBusinessArt

Abstract

fetched live from OpenAlex

With more leisure time in the early to mid-twentieth century, more people in industrialized countries took up hobbies. One hobby-woodworking-became a favorite among men, especially homeowners. Beyond the familiar "do-it-yourselfers" there was an audience eager to learn about woodworking, and magazine publishers encouraged them to acquire new skills and home machinery. American publishers led the way, but workshop converts in English-speaking countries like Canada and the United Kingdom got the magazines and the message. The promise of creative leisure at home did not democratize the hobby. Monthly features and awards praising accomplished amateurs did not challenge social and economic norms but defined leisure success in conventional terms. Those with the income and space to maintain a hobby served as models for others whose circumstances were less ideal. Through its flagship publication, a machine manufacturer often acquiesced to the industrial-era pressures that hobbies sought to alleviate.

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)0.002
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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 abstractyes

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