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Record W3167218556 · doi:10.1080/13549839.2021.1939289

Reimagining craft for community development

2021· article· en· W3167218556 on OpenAlexaff
Kevin Jones, Kristof Van Assche, John R. Parkins

Bibliographic record

VenueLocal Environment · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCraftCorporate governanceSociologyWork (physics)Space (punctuation)Public relationsPolitical scienceManagementVisual artsEconomicsEngineeringComputer scienceArtMechanical engineering

Abstract

fetched live from OpenAlex

In this paper we link contemporary thinking on craft and craftsmanship to concepts in community development. Craft is contrasted with popular development dogmas such as innovation, planning and the knowledge economy. Our aim is to reimagine craft as a form of production linked to traditions of trade-craft and blue-collar work, yet open to blending with the creative economy and innovation agendas. While emphasising tradition, craft can be forward-looking, experimental, adaptive and a driving force in the creation of successful places. We illustrate the local development potential of craft in a series of short research vignettes involving vineyards, community forests and market gardens. Ultimately, this paper challenges an increasingly narrow and homogenous range of one-size-fits-all development discourses and governance practices. Our aim is to create space for a wider array of valuing and strategising about rural community development, supporting robust and secure relationships between local endeavours and participation within wider economic geographies.

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)0.007
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.052
Scholarly communication0.0120.011
Open science0.0020.015
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.056
GPT teacher head0.224
Teacher spread0.168 · 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

Citations17
Published2021
Admission routes1
Has abstractyes

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