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Record W1701736068 · doi:10.24124/c677/200856

The Antecedents to Cascadia as a Cross Border Region

2008· article· en· W1701736068 on OpenAlexaffvenue
Allan K. McDougall, Lisa Phillips

Bibliographic record

VenueCanadian Political Science Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsUniversity of Alberta
FundersGovernment of the United Kingdom
KeywordsDemisePoliticsEconomic powerCoherence (philosophical gambling strategy)EmpireIdentity (music)EconomyPower (physics)State (computer science)Political sciencePolitical economySociologyEconomicsLaw

Abstract

fetched live from OpenAlex

For the short period from 1834 to 1863, the Pacific Northwest, centered in Cascadia, was an entity in the global economy. The region became a coherent economic unit under the management of the Columbia District of the Hudson’s Bay Company, which developed an economic hinterland, a coherent economic and trade strategy, an aggressive marketing agenda and control of marketable resources in the region. It strategically built a resource base to meet market needs and played an extensive entrepreneurial function, for example selling Finish boots in California in 1840 and Puget Sound grain in western Siberia by 1843. This paper traces the broad outline of the rise and fall of this economic empire and draws attention to the role of state power, manifested at the levels of identity and legal construction, in ending the coherence of that regional entity. In a time when the logic of Cascadia on environmental and regional grounds is apparent to many, this paper highlights how the border and the attendant identities of political actors divided and ended its coherence. Its demise may offer insight into the forces which bolster the border which divides it today.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.034
GPT teacher head0.417
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2008
Admission routes2
Has abstractyes

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