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Record W4385277217 · doi:10.14361/9783839464106-008

Feeling Senti-metal: Frontier Nostalgia, Mining Masculinity & Corporate Landscapes in the U.S. American Reality TV Series Gold Rush

2023· book-chapter· en· W4385277217 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal sentimentality · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsGold rushFrontierWhite (mutation)Television seriesFeelingNarrativeMasculinityArtHistoryArt historySociologyMedia studiesArchaeologyLiteratureGender studiesPsychologyChemistry

Abstract

fetched live from OpenAlex

In this article, Brian James Leech argues that the long-running American reality television series Gold Rush has hidden modern extraction behind a romanticized past in which white men were supposedly justified in their exploitation of distant lands. The spinoff series Gold Rush: Parker's Trail in particular has re-used an older colonial narrative about the Klondike gold rush to the Canadian Yukon. The show's sentimental portrayal of small groups of masculine prospectors obscures the fact that mining today is a highly-capitalized industrial affair run by massive global corporations. Gold Rush instead provides viewers with a mythic »frontier« landscape unburdened by supposedly modern trappings like global capital, a diverse workforce, or environmental concerns.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.350
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.081
GPT teacher head0.334
Teacher spread0.253 · 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