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Record W4221035198 · doi:10.1515/zaa-2022-2051

Filmic Gold: The Elemental Aesthetics of the Klondike Gold Rush in Bill Morrison’s <i>Dawson City: Frozen Time</i> (2016)

2022· article· en· W4221035198 on OpenAlexaboutno aff
Linda Heß

Bibliographic record

VenueZeitschrift für Anglistik und Amerikanistik · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGold rushHollywoodMovie theaterAnthropoceneArtSensibilityArchaeologyArt historyHistoryLiteratureGeology

Abstract

fetched live from OpenAlex

Abstract This contribution examines the elemental aesthetics of Bill Morrison’s documentary film Dawson City: Frozen Time (2016). The film traces connections between the birth of Dawson City as a boomtown of the Klondike Gold Rush in Yukon Territory in 1896 and the birth of cinema and the rise of the Hollywood movie industry, linking actual resource extraction (gold mining) to its discursive framing and mythologization (in Hollywood movies). Throughout the film, Morrison incorporates extracts of silent-film reels that were recovered from the permafrost below Dawson City in 1978 and that thus bear distinct marks of water damage that shape the aesthetic of Dawson City: Frozen Time . Through its comprehensive engagement of elemental materialities, Morrison’s film narrates the Klondike Gold Rush as a particular moment in the history of (North American) resource extraction. It invites analysis through the lenses of material and elemental ecocriticism, lenses that allow for understanding this moment within the vast network of profound transformations of the earth that have become known as the Anthropocene. The filmic composition itself prompts the audience to pay close attention to different elements—gold, earth, water, fire—that are crucially involved in both the Klondike Gold Rush and the film’s own history. Via this elemental focus, Morrison also creates a tension between the film’s elicitation of vicarious grief for the loss of the landscape and its evocation of irrevocable transformation as an ongoing process of human and elemental agency.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.009
GPT teacher head0.217
Teacher spread0.208 · 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.

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
Published2022
Admission routes1
Has abstractyes

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