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Record W1969890130 · doi:10.1017/s0007087499003945

An experiment with science for the nineteenth-century book trade: the International Scientific Series

2000· article· en· W1969890130 on OpenAlexaff
Leslie Howsam

Bibliographic record

VenueThe British Journal for the History of Science · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDisciplineContext (archaeology)History of scienceClassicsHistorySociologyMedia studiesPolitical scienceSocial sciencePhilosophyEpistemologyArchaeology

Abstract

fetched live from OpenAlex

The theory, method and disciplinary foundations of ‘book history’ are addressed in the context of a close examination of the International Scientific Series, a set of monographs that appeared from 1871 to 1911 in Britain, France, Germany, Italy, Russia and the United States. Working closely with entrepreneurial publishers, most authors of ISS volumes were scientific professionals (T. H. Huxley, John Tyndall, Herbert Spencer and E. L. Youmans were among the founders) aiming to educate a broad popular audience. Commercial, scholarly and other pressures made the texts less fixed than they appear: revisions, appendices and other evidences of textual instability have been overlooked by previous commentators.

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)0.025
metaresearch head score (Gemma)0.051
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.013
Scholarly communication0.0110.016
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0370.003

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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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 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

Citations64
Published2000
Admission routes1
Has abstractyes

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