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Record W1964996402 · doi:10.1525/phr.2003.72.4.561

Employers and Exceptionalism: A Cross-Border Comparison of Washington State and British Columbia, 1890–1935

2003· article· en· W1964996402 on OpenAlexaboutno aff
Andrew Yarmie

Bibliographic record

VenuePacific Historical Review · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsExceptionalismState (computer science)HistoryGenealogyPolitical scienceLawMathematicsPoliticsAlgorithm

Abstract

fetched live from OpenAlex

Based on Sanford M. Jacoby's “American Exceptionalism Revisited: The Importance of Management,” this article tests his hypotheses about differences between American and Canadian employers. First, is “exceptionalism” useful for examining cross-national differences in capital/state/labor relations? Second, do Jacoby's independent and dependent variables make American employers different? Third, were American employers more individualistic, wealthy, aggressive, and hence effective in countering trade unions and socialism than employers elsewhere? This case study of Washington state and British Columbia employers and their organizations examines whether the two national groups differed in economic and social background, ideology, values, objectives, and tactics. This regional study reveals more similarities than differences “in kind.” It finds that socially and politically constructed factors, especially the extent of state interventions, created divergent cross-border industrial relations systems, rather than exceptionalism.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.337
Teacher spread0.315 · 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

Citations5
Published2003
Admission routes1
Has abstractyes

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