“The Tale of the Tribe and the Company Town”: What We Can Learn About the Workings of Whiteness in the Pacific Northwest
Bibliographic record
Abstract
3 For reasons that readers will discern, the author is not at liberty to identify the locale, communities, and actors involved. 4 It is a kind of tale that Keith Aoki, with his uncanny ability to make connections others often missed, would have appreciated for many reasons, and one that he helped me to discern, scrutinize, appreciate, and articulate.Keith's particular genius was seeing and showing us how situations that at first might appear to be nothing more than anachronistic, locale-bound conflicts have much to teach us about dynamics of white political, legal, economic, and cultural activity, both historic and contemporary, and how these dynamics bear on local and regional conditions of immigration and in-migration by persons of color.It is a kind of tale that calls forth the cross-conversational modes and methodologies of narrating, analyzing, drawing out meanings, advancing questions and insights, noting ironies, and offering conclusions and recommendations informed by critical race theory, cultural geography, critical regionalism, state and local government law, and translocalism, all of which Keith brought to bear and directly shaped in legal scholarship.T
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".