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Record W4402255315 · doi:10.1086/731757

One Hundred Years of Internationalizing the History of Science

2024· article· en· W4402255315 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIsis · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsYork University
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

This essay examines how internationalization has been a part of the history of the History of Science Society (HSS) from its establishment in 1924 to the present. Although the HSS remains a US-based society and its annual meetings are held primarily in the US, attended by mostly US-based scholars, we argue that there has always been a strong commitment to internationalism that continues to this day. We walk through the hundred years of the Society in four phases, namely the Sarton years (1924–52), the coming-of-age of the field in America (1953–88), the opening up of the HSS to the world (1989–99), and the new millennium (2000–present). We end with a concluding section to elucidate how the Society has transitioned beyond Sarton as it goes into its second centenary. Our sources of evidence include interviews with select past HSS presidents, founders and chairs of HSS interest groups and forums, statistics of HSS membership to be found in the Smithsonian archives and HSS Newsletters, and distribution and patterns of Society-awarded prizes. We also take note of the growing numbers of roundtables and panels on global and non-Western history of science at HSS annual meetings since the 2010s. As we celebrate the HSS Centennial, it is important to reflect on the one hundred years of the Society’s engagement with internationalizing the history of science.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models agreeAgreement compares identical category sets and study designs across arms.

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 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: Empirical
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.241
Teacher spread0.186 · 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