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Record W4307454927 · doi:10.1163/26669323-bja10001

Producing Knowledge of the Sea Coast: Marine Life and a Tang Geographical Miscellany of Lingnan

2022· article· en· W4307454927 on OpenAlexaff
Linda Rui Feng

Bibliographic record

VenueEast Asian Science Technology and Medicine · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMiscellanyContext (archaeology)GeographyShoreChinaEthnographyMarine lifeAncient historyHistoryArchaeologyFisheryClassicsBiology

Abstract

fetched live from OpenAlex

Abstract This article focuses on a collection of writing about the Lingnan region (present-day region of Guangdong and Guangxi) that grapples with a world beyond the shore in south China in the late medieval era. The Records of the Unusual from Lingnan (Ling biao lu yi 嶺表錄異) by Liu Xun 劉恂 (fl. 880s) details abundant marine life in the coastal Lingnan area (including Hainan Island), features several extensive accounts of seafaring and shipwreck, and is interspersed with entries on the crafts of boat-making, ethnography of coastal dwellers and other maritime peoples. This article places this collection in the context of a larger process of producing geographical knowledge, and investigates the sources and orientations for such evolving knowledge of the coastal world and its connection to the sea.

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)0.002
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.014
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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