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Record W2914554314 · doi:10.3138/jcs.52.3.2017-0069.r1

James Oliver Curwood: Advertising Canada across the Border

2018· article· en· W2914554314 on OpenAlexvenueaboutno aff
Dominique Brégent‐Heald

Bibliographic record

VenueJournal of Canadian Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDominionConsumerismTourismOrder (exchange)Promotion (chess)SociologyPolitical scienceMedia studiesArt historyHistoryLaw

Abstract

fetched live from OpenAlex

Using an intermedial approach, this essay examines James Oliver Curwood’s role in promoting Canada as a destination for American tourists and settlers in the early 20th century. A native of Michigan, Curwood produced popular nonfiction articles, short stories, novels, and films that celebrated the Dominion’s seemingly unspoiled natural landscapes, while also revealing how these were integrated into a complex web of industrialism, consumerism, and technological change. Archival research at the James Oliver Curwood Papers at the Bentley Historical Library and the Essanay Manufacturing Company Papers at the Chicago Historical Research Center reveals that various Canadian governmental and railroad interests sponsored Curwood to produce indirect advertising that targeted American readers and filmgoers. Curwood’s increasingly sensational Northwest melodramas, however, helped to construct an image of Canada as an unwelcoming frozen wasteland that potentially subverted tourism promotion efforts. This ultimately spurred more direct Canadian involvement in film production in order to shape these representations.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0270.007
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.020
GPT teacher head0.311
Teacher spread0.291 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2018
Admission routes2
Has abstractyes

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