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Record W2299214489

The So-Called “Velasco Map”: A Case of Forgery?

2006· article· en· W2299214489 on OpenAlexaboutno aff
David Y. Allen

Bibliographic record

VenueOakTrust (Texas A&M University Libraries) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceComputer securityComputer visionArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This article examines a well-known map of the northeastern United States and southeastern Canada allegedly made in or around 1610. The map was uncovered in the Spanish Archives at Simancas in 1887. Supposedly, it is a copy of an anonymous English map, which was sent to King Phillip III of Spain by the Spanish ambassador to London, Don Alonzo de Velasco. This article raises the possibility that the map may actually be a nineteenth-century forgery. The map is based primarily on information found on early seventeenth-century maps, most of which were not published in 1610, although it is possible that manuscript copies of these maps might have been available as early as 1610. The overall geographic framework of the map seems to be improbably accurate for its supposed date of creation. The map contains numerous oddities, and many features on the map do not appear on other maps made in the early seventeenth century. Overall it seems anachronistic and it stands in isolation from other maps made around 1600. Although no single feature on the map proves beyond a doubt that it is a forgery, the overall weight of the evidence makes it seem highly probable that it is a fake. Tests on the paper, pigment, and handwriting of the map should be made to prove conclusively whether or not it is a forgery.

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 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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.999

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 studies0.0030.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.204
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2006
Admission routes1
Has abstractyes

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