Working-class Black Women’s Role in Building and Sustaining Black Communities in the Pacific Northwest
Bibliographic record
Abstract
In response to the scholarly focus on the historical racism of the Pacific Northwest, this research attempts to answer the question of how Black communities have persisted in the face of discrimination. This study is a historical examination of the roles that Black women have played in building and sustaining Black communities within predominantly white regions, with a specific focus on the Portland-Vancouver area during and after World War II. This work focuses on the activities of working class Black women, a significant proportion of Black women migrating to the Pacific Northwest during World War II, examining their community-building activities in order to understand key factors behind the persistence of these Black communities. The results of this research bridge a gap in the literature, illuminating the particular ways that smaller Black populations negotiated the early stages of transition from Jim Crow politics to the Civil Rights movement. This transition came as a result of mass migration out of the US South, with Black women leaving domestic work and taking their families to the cities of the north and west. By maintaining connections and creating national networks, women were able to establish a base from which to facilitate the migration of waves that followed, fashioning kinship and building resilience into communities. The study shows that the activities of these women laid the groundwork for the militant organizing of the civil rights era.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".