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Record W1573632682

The Other Wild West

2015· article· en· W1573632682 on OpenAlexaff
Michael Cronk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Political and Social Dynamics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMythologyWhite (mutation)CredenceSociologyRhetoricArgument (complex analysis)HistoryGender studiesCriminologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In The Other Wild West, the author discusses the revisionist arguments on American Old West violence as put forward by leading historians including Robert Dykstra and Lynn Perrigo, systematically debunking former work by Roger McGrath and Ray Billington on cow-town violence. Drawing on Richard Brown’s argument that Old West violence was a part of the same conflict as the Indian Wars, the author demonstrates how violence in this era was neither reduced to individual vigilantism nor white-on-white aggression. The author concludes that although conflicts were more collective, systematic and transnational than conventional understandings suggest, the myth of personal violence persists. The author discusses the value that this myth has played in forming national consciousness and bolstering political rhetoric and how this has tangled the historical credence of pop-culture with documented reality. The author holds that such confusion dispossesses non-white participants from the historical purview; those who not only played formative roles but were themselves also victims of the most violence. Because of the disinheritance intrinsic to the old west myth of personal violence, the author forwards a continual re-visitation of de-facto history.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

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)0.0010.001

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 head0.043
GPT teacher head0.241
Teacher spread0.198 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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