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Record W4413362441 · doi:10.1515/9789048571079-fm

Frontmatter

2025· book-chapter· en· W4413362441 on OpenAlexfundno aff

Bibliographic record

VenueAmsterdam University Press eBooks · 2025
Typebook-chapter
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of TorontoEuropean CommissionUniversity of SouthamptonUniversity of East AngliaUniversity of HullMassachusetts Institute of Technology
KeywordsComputer science

Abstract

fetched live from OpenAlex

Early modern oceans not only provided temperate climates, resources, and opportunities for commercial exchange, they also played a central role in cultural life.Increased exploration, travel, and trade, marked this period of history, and early modern seascapes were cultural spaces and contact zones, where connections and circulations occurred outside established centres of control and the dictates of individual national histories.Likewise, coastlines, rivers, and ports were all key sites for commercial and cultural exchange.Interdisciplinary in its approach, Maritime Humanities, 1400-1800: Cultures of the Sea welcomes books from across the full range of humanities subjects, and invites submissions that conceptually engage with issues of globalization, postcolonialism, eco-criticism, environmentalism, and the histories of science and technology.The series puts maritime humanities at the centre of a transnational historiographical scholarship that seeks to transform traditional land-based histories of states and nations by focusing on the cultural meanings of the early modern ocean.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.091
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9090.877

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 head0.020
GPT teacher head0.206
Teacher spread0.185 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractno

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