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Record W3007716828 · doi:10.21827/pa.30.111-117

Het geschut van de Queen Anne. Een reconstructie van de bewapening van het Engelse koopvaardijschip dat in de 18de eeuw voor de kust van Kuinre verging

2019· article· en· W3007716828 on OpenAlexaboutno aff
Yftinus van Popta, Han Vastenhoud

Bibliographic record

VenuePaleo-Aktueel · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)AmmunitionArtQuarter (Canadian coin)ArchaeologyHumanitiesArt historyHistory

Abstract

fetched live from OpenAlex

The guns of the Queen Anne: A reconstruction of the armament of the 18th-century English merchantman that was wrecked on the Zuiderzee near Kuinre. This paper focuses on the weapons of the Queen Anne, an English merchantman that was wrecked on the Zuiderzee near Kuinre (province of Overijssel) in the first quarter of the 18th century. The wreck was discovered in a now-reclaimed part of the Zuiderzee (the Noordoostpolder) in 2016 and excavated by the Groningen Institute of Archaeology of the University of Groningen during the summer of 2018. The wreck was well preserved and contained a large number of artefacts, including multiple weapons (flintlock pistols, swivel guns) and plenty of ammunition, including dozens of cannonballs. A substantial part of the ammunition was too large to be fired by swivel guns, meaning that multiple guns were missing from the wreck site. Based on the diameter and weight of the dozens of cannonballs, a reconstruction was made of the full armament of the Queen Anne.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.013
GPT teacher head0.220
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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