Seattle in the 1960s: Music, Identity, and the Struggle for Civil Rights
Bibliographic record
Abstract
During the 1960s, the American civil rights movement fundamentally altered the identity of Seattle’s black community. During the proceeding decades, its process of identity formation hinged on a shared appreciation and understanding of Rhythm and Blues music. Artists like Ray Charles and Jimi Hendrix benefited from this rich musical tradition. However, the intensification of racial discord politicized the African-American community. Black music became infused with overt political melodies. While remaining a key factor in shaping black identity, it also served to mobilize the broader community against racial inequality. This article explores the role of music in the construction of black identity, a process that indelibly altered the Emerald City. By drawing upon a diverse range of contemporary sources, as well as more recent literature written on thePacific Northwest, this article highlights the ways in which a specific community relates to, and is shaped by, one of its own cultural constructs. Ultimately, the article examines 1960s Seattle as a case study of the transition within black identity that occurred all across America.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".