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Record W2130076146 · doi:10.3138/carto.46.3.160

Toward the Spatial and Temporal Management of Documents: The GéoTopia Platform

2011· article· en· W2130076146 on OpenAlexvenueno aff
Thierry Joliveau, Justine Ultsch, Albert Royer, Christian Sallaberry, Mauro Gaio, Sylvain Béorchia, P Ny

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2011
Typearticle
Languageen
FieldComputer Science
TopicData Management and Algorithms
Canadian institutionsnot available
Fundersnot available
KeywordsThumbnailTimelineComputer scienceSearch engine indexingZoomInformation retrievalGeoreferenceWorld Wide WebThematic mapFeature (linguistics)CartographyGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

GéoTopia is an online platform designed to promote the publication, distribution, exchange, discussion, and analysis of archive data. As an original feature, it incorporates functions for the spatial and temporal management of relatively informal documents of complex structure, such as images, drawings, and texts. A map interface allows the archiving, consultation, and handling of georeferenced documents by means of a zoom bar and a timeline. Display by map juxtaposition facilitates the comparison of two documents. Two Web services with adjustable parameters, GéoStream and TempoStream, have been developed to aid users with the spatial and temporal indexing of the texts that they integrate into the GéoTopia platform. The result of the spatial indexing is displayed on the base map in the form of thumbnail images showing the spatial references extracted from the text, which the user can validate, either wholly or in part.

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)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.015
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0150.013
Open science0.0030.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.006

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 head0.025
GPT teacher head0.267
Teacher spread0.241 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicData Management and AlgorithmsFrench-language works237,207