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Record W7094780605

At War with the Machine: Canadian Workersâ Resistance to Taylorism in the Early 20th Century

2015· article· W7094780605 on OpenAlexaffabout

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2015
Typearticle
Language
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsResistance (ecology)SolidarityPoliticsAutonomyAgency (philosophy)Working classOpposition (politics)
DOInot available

Abstract

fetched live from OpenAlex

This essay looks at the ways Frederick Winslow Taylor's distinctly modern theories of scientific management (i.e. Taylorism) transformed Canadian workplaces in the early 20thcentury. In particular, it shows how Taylorism negatively impacted Canadian workers' lives, and examines the various ways that workers consequently resisted Taylorist methods. The essay argues that though workers were unable to stop the widespread implementation of Taylorism and its normalization in Canadian workplaces, their resistance to Taylorism still played an important role in unionist and radical political movements which gradually gained important concessions and rights for Canadian workers during the first half of the 20thcentury. Additionally, the essay argues that resistance was significant as an outlet for workers to retain bodily autonomy in work environments which increasingly aimed to make workers more machine-like. Ultimately, the essay highlights important ways that the Canadian working class has exercised historical agency via solidarity and perseverance.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.197
Threshold uncertainty score0.931

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0550.039
Scholarly communication0.0100.003
Open science0.0020.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.214
Teacher spread0.195 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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