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Record W3215872945 · doi:10.52975/llt.2021v88.0005

The Forgotten Labour of Craft

2021· article· en· W3215872945 on OpenAlexaffvenue
Benjamin M. Anderson

Bibliographic record

VenueLabour / Le Travail · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCraftSolidarityClothingHandicraftSociologyPolitical scienceDivision of labourArtVisual artsLaw

Abstract

fetched live from OpenAlex

Over the last decade, firms positioning themselves as craft or artisanal have proliferated in the urban environments of the Global North. Selling themselves as community hubs, friendly neighbours, anticorporate crusaders, and environmental stewards, craft industries – craft breweries, artisanal bakeries, heritage clothing manufacturers, and the like – have effectively insulated themselves from critique. Hidden beneath this veneer, however, are the accounts of countless workers detailing experiences of harassment, overwork, low pay, and discrimination. Motivated by the methodological orientation of workers’ inquiry, this article recounts attitudes and experiences offered by craftworkers and craftspeople about their working conditions, motivations, and attempts to organize in craft industries, particularly craft brewing. Worker testimony reveals a profound disconnect between the optimistic industrial mythologies offered up by craft discourse and the rigid hierarchies, unequal division of labour, and toxic cultures many observed in their workplaces. Contrary to the pervasive artisanal allure that motivates many workers to seek out work in craft brewing and similar industries, the research presented here also suggests new levels of working-class consciousness and solidarity emerging in these industries and profiles attempts by craft brewery workers to organize their workplaces and fight to improve conditions. Au cours de la dernière décennie, les entreprises se positionnant comme artisanales ont proliféré dans les environnements urbains du Nord mondial. Se propageant comme des centres communautaires, des voisins amicaux, des militants qui luttent contre les entreprises et des gardiens de l’environnement, les industries artisanales – brasseries, boulangeries, fabricants de vêtements patrimoniaux, etc. – se sont efficacement isolées de la critique. Cachés sous ce vernis, cependant, se trouvent les récits d’innombrables travailleurs détaillant leur expérience de harcèlement, de surmenage, de bas salaire et de discrimination. Motivé par l’orientation méthodologique de l’enquête ouvrière, cet article raconte l’attitude et l’expérience offertes par les artisans sur leurs conditions de travail, leurs motivations et leurs tentatives d’organisation dans les industries artisanales, en particulier l’artisanat brassicole. Le témoignage des travailleurs révèle une profonde déconnexion entre les mythologies industrielles optimistes offertes par le discours artisanal et les hiérarchies rigides, la division inégale du travail et les cultures toxiques que beaucoup observent sur leur lieu de travail. Contrairement à l’attrait artisanal omniprésent qui motive de nombreux travailleurs à chercher du travail dans la brasserie artisanale et les industries similaires, la recherche présentée ici suggère également de nouveaux niveaux de conscience et de solidarité de la classe ouvrière émergeant dans ces industries et décrit les tentatives des travailleurs des brasseries artisanales d’organiser leur lieu de travail et lutter pour améliorer les conditions.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.035
Scholarly communication0.0100.005
Open science0.0010.007
Research integrity0.0020.004
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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

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