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Record W1974067765 · doi:10.1111/1467-6443.00110

Modernism and the Machine Farmer

2000· article· en· W1974067765 on OpenAlexaff
Rod Bantjes

Bibliographic record

VenueJournal of Historical Sociology · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsModernism (music)ModernityContext (archaeology)PhenomenonCharacter (mathematics)Space (punctuation)SociologyAestheticsHistoryPolitical scienceArchaeologyArtLawPhilosophyEpistemology

Abstract

fetched live from OpenAlex

In this paper I apply recent theoretical discussions of the spatial character of modernity to a ‘rural’ context. I argue that neither modernity nor ‘modernism’ has been an exclusively ‘urban’ phenomenon in the twentieth century, and that attention to modernism in the countryside yields insights into the modernist project. From the beginning of the twentieth century, the apparently ‘rural’ spaces of the prairie west were already integrated into modern trans‐local structures. Wheat farmers were ahead of their contemporaries in their appreciation of the nature and scale of modern distanciated relationships. They were ‘modernist’ in embracing and celebrating the technologies, particularly organizational technologies, for dominating space and time. They were also innovators in modern organizational design, seeking creatively to control the modern “machine” and to bridge the local and the ‘global.’ Their progressive experimentation culminated in a surprising proposal for ‘co‐operative farms’ not unlike Soviet collective farms.

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)0.001
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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.025
Scholarly communication0.0030.005
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.236
Teacher spread0.203 · 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

Citations1
Published2000
Admission routes1
Has abstractyes

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