Racism Is Not Enough: Minority Coalition Building in San Francisco, Seattle, and Vancouver
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.
Bibliographic record
Abstract
Scholars have long argued that the marginalized racial status shared by ethnic minority groups is a strong incentive for mobilization and coalition building in the United States. However, despite their members’ shared racial status as “Orientals,” different types of housing coalitions were formed in the Chinatowns of San Francisco, Seattle, and Vancouver during the 1960s and 1970s. Asian race-based coalitions appeared in San Francisco and Seattle, but not in Vancouver, where a cross-racial coalition was built between the Chinese and southern and eastern Europeans. Drawing on exogenous shocks and process tracing, this article explains how historical legacies—specifically, the political geography of settlement—shaped this divergence. These findings demonstrate how long-term historical analysis offers new insights into the study of minority coalition formation in the United States.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it