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Record W4390583590 · doi:10.33137/js.v5i.42268

Discipline Dynamics of Chymistry and Rejection of Alchemy

2023· article· en· W4390583590 on OpenAlexaffvenue
Izzy Friesen, Paul Patton

Bibliographic record

VenueScientonomy Journal for the Science of Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAlchemyHierarchyDisciplineScope (computer science)Subject (documents)Dynamics (music)EpistemologyValue (mathematics)Order (exchange)SociologyHistoryPhilosophySocial sciencePolitical scienceLawArt historyComputer scienceLibrary science

Abstract

fetched live from OpenAlex

This paper applies Patton and Al-Zayadi’s scientonomic framework for understanding disciplines to a case study of the development of the chemical discipline ("chymistry") from the 17th century through the early 18th century in Western Europe. Using evidence from the tradition of textbook publication that emerged in the seventeenth-century chymistry, we reconstruct the top-level of the question hierarchy of chymistry. Analyzing how these questions and their associated theories were received, we first show how, starting in the 1660s, alchemy transitioned from a synonym of chymistry to chymistry’s subdiscipline with a more limited scope. We identify that the rejection of alchemy's core questions occurred in the 1720s based on the reception of these questions in scientific publications and by academic institutions. Hence, we conclude that the subdiscipline of alchemy became rejected in the 1720s. In order to conduct our case-study, we closely follow Newman and Principe's research on early modern alchemy and chymistry in our reconstruction of the episode. However, using the scientonomic framework in analyzing this case study reveals the specific dynamics of this instance of sub-discipline rejection. Our deepened understanding of this hallmark historical episode of disciplinary rejection indicates the value of Patton and Al-Zayadi’s theoretical framework for observational scientonomic research.

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)0.010
metaresearch head score (Gemma)0.021
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0100.026
Scholarly communication0.0090.011
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.300
Teacher spread0.259 · 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 designTheoretical or conceptual
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
Published2023
Admission routes2
Has abstractyes

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