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Record W2009314553 · doi:10.1068/a34187

Stormy Weather: Cyclones, Harold Innis, and Port Alberni, BC

2001· article· en· W2009314553 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional resilience and development
Canadian institutionsUniversity of OttawaSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsResource (disambiguation)Port (circuit theory)Work (physics)MetaphorArgument (complex analysis)CreativityEconomyCyclone (programming language)Economic geographyGeographyEconomicsPolitical scienceEngineeringComputer scienceLaw

Abstract

fetched live from OpenAlex

This paper uses the work of the Canadian economic historian, Harold Innis, to reflect on the nature of resource economies and the single-industry towns that form their backbone. For Innis resource or staple economies are subject to extreme spatial and temporal disruptions that are both creative and destructive. Single-industry towns are on the front line of both that creativity and that destructiveness. They enjoy rapid growth when a new resource is found, but are equally hastily abandoned when resources run out, or prices fall. Innis used the metaphor of the cyclone to depict this pattern of staples accumulation and consequent crisis. This paper will, first, elaborate on Innis's general cyclonic scheme that joins space, time, and staples production, and second, provide a case study of the forest-industry town of Port Alberni, British Columbia, to exemplify his argument.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.018
GPT teacher head0.190
Teacher spread0.171 · 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