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Record W4375956029 · doi:10.1080/00026980.2023.2201743

Amateur Science and Innovation in Fireworks in Nineteenth-Century Europe

2023· article· en· W4375956029 on OpenAlexfundno aff
David Garrioch

Bibliographic record

VenueAmbix · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersAustralian Research CouncilMonash UniversityYork University
KeywordsFireworksAmateurHistoryField (mathematics)Visual artsAestheticsSociologyArtArchaeology

Abstract

fetched live from OpenAlex

The categories of "amateur" and "professional" remain central in studies on the sociology of nineteenth-century science. This article joins a growing body of literature that points out the complicated and intersecting connections between these two groups and how blurred the boundaries could be. This study focuses on pyrotechny, the art of fireworks, a field of far more obvious importance in the nineteenth century than it is today. Firework displays were mounted by artisan firework makers, who by the end of the century had become industrialists, and by military specialists, usually artillerymen. They had also become a common amateur pursuit. Across the nineteenth century, the art was transformed by the introduction of new materials, and the key discoveries were the work of enthusiasts who did not seek to profit financially from their discoveries. In this sense, they too were amateurs, although some had a scientific education. This article asks how they were able to make such major contributions to the field, and it situates them within networks that often crossed the boundaries between those who made fireworks for a living, or who studied them in military contexts, and those who were simple enthusiasts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.232
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2023
Admission routes1
Has abstractyes

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