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Record W108984777 · doi:10.3138/cjh.48.1.29

“Involuntarily We Listen”: Hearing the Aurora Borealis in Nineteenth-Century Arctic Exploration and Science

2013· article· en· W108984777 on OpenAlexvenueaboutno aff
Shane McCorristine

Bibliographic record

VenueJournal of History · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsDisenchantmentThe arcticIndigenousArcticHistoryHistory of sciencePolitical scienceLawOceanographyPhilosophyEcologyGeologyEpistemologyPolitics

Abstract

fetched live from OpenAlex

In western science the Aurora Borealis has been a fiercely contested site of inquiry with little agreement as to its nature until the twentieth century. This essay surveys the history of auroral science up to the nineteenth century and then complicates the traditional indigenous/western dichotomy regarding supernatural or anomalous experiences by examining occasions when nineteenth-century Arctic explorers, scientists, and fur traders became enchanted by the Aurora Borealis. Drawing mainly on cases from the period of the British quest for the Northwest Passage through the (now Canadian) Arctic (c.1818-59), it demonstrates how scientific uncertainty allowed for occasions when Arctic explorers, scientists, and other travellers could self-consciously become enchanted by aurorae. If we work from the contention that cycles of re-enchantment rather than sudden disenchantment constitute the modernising process, then we can challenge the notion of a stable scientific observer of the Aurora Borealis.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.056
Scholarly communication0.0060.007
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.241
Teacher spread0.205 · 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.

Study designQualitative
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

Citations5
Published2013
Admission routes2
Has abstractyes

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