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Record W1985550834 · doi:10.1017/s014754790400002x

Not a “Sack of Potatoes”: Why Labor Historians Need to Take Agriculture Seriously

2004· article· en· W1985550834 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Labor and Working-Class History · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProletarianizationPrivilege (computing)Marxist philosophyWorking classSackProletariatSociologyClass (philosophy)AgricultureLabour economicsPolitical scienceHistoryEconomicsLawEngineeringArchaeologyEpistemology

Abstract

fetched live from OpenAlex

Labor and working class historians, whether explicitly Marxist or not, have tended to use models of class and class formation that privilege urban industrial workers, depicting their lived experience as, somehow, hermetically sealed off from the countryside. Despite an awareness of the intertwined and overlapping nature of rural and urban economies, most historians have treated rural workers as either peasants or slaves, and therefore fitting subjects for separate fields of historical inquiry, or as individuals on the cusp of proletarianization, would-be or about-to-be industrial workers. Indeed, even studies focused on recent history have viewed the rural sector as a “backward” one and constructed the industrial setting as “modern.” Thus, even if few labor historians have dismissed agricultural workers with the condescension of Marx's “sack of potatoes,” as a collectivity we have paid them insufficient attention and our field is weaker as a result.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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