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Record W2795082195

Cartographic Connections - the digital analysis and curation of sixteenth-century maps of Great Britain and Ireland

2018· article· en· W2795082195 on OpenAlex
Catherine Porter, Keith Lilley, Christopher Lloyd, Siobhan McDermott, Rebecca Milligan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
FundersQueen's UniversityUniversity of OxfordBritish AcademyArts and Humanities Research CouncilQueen's University BelfastLeverhulme Trust
KeywordsCartographyDigital curationComputer graphics (images)GeographyHistoryArchaeologyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Understanding the processes by which early maps were created and the interconnections of maps and map makers is key to broadening our knowledge of map history and cartographic science. This paper draws on data collected across three UK research projects centred on analysing, untangling and evaluating the relationships between maps and map makers of sixteenth-century Great Britain and Ireland. Using GIS, ‘Place’ features (written in Latin, Gaelic, Welsh and English) derived from a large suite of maps were digitised and added to one centralised geo-historical gazetteer. Employing robust quantitative methods including statistical regression procedures, distortion measures and displacement modelling, the maps were analysed and compared to reveal significant insights into the cartographic connections and the map making processes of Renaissance Europe. The paper also illustrates a common goal of these projects, to ‘curate’ early maps by enabling accessibility to cartography and associated data through online resources. The paper highlights that digital methods and curation, used in combination with more traditional forms of qualitative enquiry, provide a new instrument for deciphering and conserving histories of cartography.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
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 studies0.0010.003
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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