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Re-Inventions: Essays on Hellenistic and Early Roman Science

2015· article· en· W379675321 on OpenAlexvenueno aff
Philippa Lang, Julie Laskaris

Bibliographic record

VenueAestimatio Sources and Studies in the History of Science · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Religious, and Philosophical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryClassicsArt

Abstract

fetched live from OpenAlex

In October 2003, Emory University (Atlanta, Georgia) hosted a conference organized by the editor of the present volume, Philippa Lang: 'Reinventions: Hellenistic and Early Roman Science' (http://www. classics.emory.edu/events/reinventions.htm).The conference, which I attended as an audience member, provided the opportunity-too rare in the United States-for the gathering of scholars working on the history of ancient science.This conference was of particular value, as it encouraged research in a rather under-studied period that was crucial in preserving older knowledge and in formulating new.Thus, it was in this period that the ancient sciences and philosophyand their many subfields and sects-re-defined and re-invented themselves in relation to one another and to the authoritative figures and practices of the past.Three of the five essays of the present volume were given at the conference, and two are new contributions by conference speakers.Sir Geoffrey Lloyd gave the keynote address, which is the first essay of the volume: 'New Issues in the History of .As many readers of Aestimatio will know, for more than a decade Lloyd has devoted himself to the study of Chinese and of Chinese science.Here he calls for a 'genuinely comparative' and 'ecumenical' approach to the history of science that is alert to the differences in the development of scientific traditions in different cultures.It is only by this means, Lloyd contends, that scholars can test their accounts of how and why science developed as it did in their 'home' culture, and avoid the temptation to view such developments as inevitable.

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)0.004
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.993
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0070.028
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.179
GPT teacher head0.307
Teacher spread0.127 · 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

Citations18
Published2015
Admission routes1
Has abstractno

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