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Record W2145732637 · doi:10.3138/rm86-3872-8942-61p4

On the Study of the Geometric Properties of Historical Cartographic Representations

2006· article· en· W2145732637 on OpenAlex
Evangelos Livieratos

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.

venuePublished in a venue whose home country is Canada.
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

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisualizationInteractivityDigitizationComputer sciencePerspective (graphical)Frame (networking)GeoreferenceSchematicCartographyGeographyFrame of referenceField (mathematics)Artificial intelligenceMathematicsComputer visionPure mathematicsEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

The long but partial and still open question of the geometric and projective characteristics and properties of early cartographic representations is revisited in view of the advancements in digital analytical and visual technologies that are now offered in a “part and parcel” operational environment, allowing a level of interactivity almost unthinkable even in the recent past. In this new technology frame, the geometric study of early maps is treated analytically via a typical two-dimensional comparison with relevant modern map counterparts or georeference. By bringing in the early map with a one-to-one correspondence to its modern reference, the comparison retains all those proper transformational steps that result in the visualization of map differences and, thus, the study of the geometric and projective properties of early maps. To illustrate the proposed process, two indicative examples are treated, related to two distinct schematic typologies of early maps: (1) a georeferenced map of the Ptolemy type, and (2) a non-georeferenced early map of the portolan type. A number of results related to these examples open a perspective for new pathways in the fascinating and adventurous field of map history.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.028
GPT teacher head0.293
Teacher spread0.265 · 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