MétaCan
Menu
Back to cohort
Record W2613144087

The Works of Will James: His Contribution to the Mythologizing of the American Cowboy

2016· article· en· W2613144087 on OpenAlexaboutno aff
Nicole Louise Harrison

Bibliographic record

VenueSHAREOK (University of Oklahoma) · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHistory
DOInot available

Abstract

fetched live from OpenAlex

The life of Will James is one of mystery. His works, however, tell the story of a life he was meant to live. Born Joseph Ernest Nephtali Dufault in 1892 in Saint-Nazaire-d’Acton, the boy grew up yearning to be a cowboy. Dufault headed to western Canada in 1907 to fulfill his dream. By 1910 he had crossed the Canadian-United States border into Montana and changed his name to Will James. During his travels James managed to steal cattle, survive jail and a hospital stay, and attend art school. These events, and the people he encounter along the way, played an important role in his decision to become a full-time artist and author. 
\nThe individuals in the literary, artistic, and entertainment industries prior to James’s arrival laid the groundwork for the artist to extend and update the iconic cowboy imagery. Pining for the Old West, Will James illustrated the American cowboy before the effects of barbed wire and the automotive revolution took place. In his depictions the cowboy almost invariably accompanies the horse and cattle. To James the three were indispensable to his way of life. His drawings and paintings not only served as illustrations for the books and short stories he wrote but also helped shape and extend the historical, cultural, and mythological perceptions of the cowboy-hero in American culture. 
\nThe life and works of this forgotten legend have endured through avid collectors, artists, and historians. Marginalized to the far corners of western American art, Will James’s work endures, inspiring a new generation and creating a love for the Old West.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score0.552

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.180
Teacher spread0.172 · 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 teacher head, 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSHAREOK (University of Oklahoma)Same topicAmerican and British Literature AnalysisFrench-language works237,207