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Record W4411224124 · doi:10.1093/ahr/rhaf034

Jamie L. Jones. <i>Rendered Obsolete: Energy Culture and the Afterlife of US Whaling</i>.

2025· article· en· W4411224124 on OpenAlexaff
Caleb Wellum

Bibliographic record

VenueThe American Historical Review · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWhalingAfterlifeEnergy (signal processing)HistoryArtLiteratureArchaeologyPhysics

Abstract

fetched live from OpenAlex

The concept of an energy transition is a powerful and deceptively simple one that has captured the attention of energy and environmental historians writing amid climate crisis. The result has been a spate of excellent work on the economic, social, and political implications of the modern era’s major energy transition: the shift from a world defined by renewable flows of energy (muscle, sun, wind, and water) to one defined by the production and use of fossil fuels (coal, oil, and natural gas). Many of these studies have offered nuanced accounts of transition, noting that it is always contested, uneven, and overlapping to such a degree that the term transition may not even be appropriate. But few scholars have approached the question in the compelling way that Jamie L. Jones does in Rendered Obsolete: Energy Culture and the Afterlife of US Whaling. Most accounts trace either the rise of new fuels or the persistence of old ones, but in this densely argued book, Jones focuses on a declining resource—whale oil—to explore the “cultural afterlife” of a fuel rapidly losing its original economic significance (5). The result is a history of energy that deepens our understanding of how energy transitions work culturally and politically. Jones’s overarching argument is that the representation, memory, and artifacts of US whaling helped mediate the nineteenth century’s bewildering transition to fossil fuels, functioning as a yardstick of modernity and a site of nostalgic longing for a fictive past that helped remake social and political life in the United States.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.003

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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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
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
Published2025
Admission routes1
Has abstractno

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