“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 2012] "The Tale of the Tribe and the Company Town": 1275 What We Can Learn About the Workings of Whiteness in the Pacific Northwest Cascadia, 5 as it is now sometimes called 6 ).Having presented the tale, and having worked to surface and explore facets of past factors, present conditions, and future possibilities that it implicates, the Article concludes with five insights and a few hopes.I TERMS, CONCEPTS, AND MEANINGS: A FEW WORDS Plato called rhetoric "the art of winning the soul by discourse," 7 and Aristotle, his greatest student, called it "the faculty of discovering in any particular case all the available means of persuasion." 8Whether the methods of persuasive rhetoric happen to lie in making appeals to reason, emotion, or character, the point is that terms, concepts, and meanings are profoundly rhetorical-that is, their aims are to appeal to and persuade identified and identifiable audiences.9Anxieties over techniques, strategies, and aims, especially as arising from devotees to specific conceptions of knowledge and truth, have contributed to equating "rhetoric" with "sophistry" 10 (or "spindoctoring," 11 by contemporary phraseology).Yet to say that terms, concepts, and meanings are rhetorical is simply to say that they are parts of language practices, and as such they do more than define and describe; they also reflect and shape intricate, often latent and unruly, interrelations-political, economic, ideological, cultural, 5 See Carl Abbott, Competing Cascadias: Imagining a Region over Four Decades, URBAN WEST (2010), available at http://theurbanwest.com/wp-content/uploads/2010/07 /Competing-Cascadias.pdf.6 See, e.g., Cascadia Flag, PEOPLE'S REPUBLICS, http://thepeoplespdx.com/shop-prop-gear/cascadia (last visited May 24, 2012) (proclaiming "Cascadia" as self-identification and decrying "Pacific Northwest" as identification based on "an Atlantic centered map" and imposed by "Atlantic empires").This website also describes "Pacific Northwesterners" as "remain[ing] a nameless object or second thought to the power centers of Washington DC and Ottowa [sic]," and the site analogizes individuals "remaining the Pacific Northwest" to "being an object much akin to a man of color being called 'boy.'"Id. 7 Andrea A. Lunsford, Some Definitions of Rhetoric, STANFORD UNIV., http://www .stanford.edu/dept/english/courses/sites/lunsford
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.027 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| 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".