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Record W4288833176 · doi:10.1353/ohq.2019.0023

Liberty Ships and Jim Crow Shipyards: Racial Discrimination in Kaiser's Portland Shipyards, 1940–1945

2019· article· en· W4288833176 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOregon Historical Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsShipyardSpanish Civil WarJurisdictionLawGovernment (linguistics)Political sciencePopulationHistorySociologyAncient historyDemographyShipbuilding

Abstract

fetched live from OpenAlex

During World War II, the Black population Portland-Vancouver region in Oregon grew tenfold. New arrivals sought work in war industries, particularly in the three large Kaiser Company shipyards where a majority of skilled jobs were under the jurisdiction of the Local 72 of the Boilermakers Union, which refused to admit Black members. John Linder describes how during a time when shipyards needed skilled workers, “qualified Black workers were consigned to laboring jobs or forced to join a segregated and powerless ‘auxiliary local'.” Linder's article sheds light on some of that systemic discrimination reinforced by corporations and ignored by the federal government that has had lasting effects into the present. It also highlights that “significant victories were won by Black workers and organizers who relied on mass action rather than the promises and proclamations of government and company officials.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.224
Teacher spread0.214 · 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