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Record W4385432190 · doi:10.3138/cart-2023-0005

Do Historical GIS and Digital Humanities Walk Hand in Hand?

2023· article· en· W4385432190 on OpenAlexvenueno aff
Vinicius Maluly, Tiago Luís Gil, Massimiliano Grava

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, History, and Historiography
Canadian institutionsnot available
Fundersnot available
KeywordsDigital humanitiesDisciplineReading (process)Face (sociological concept)MacroGovernmentalitySociologyGeographyHistoryHumanitiesSocial sciencePolitical scienceComputer sciencePoliticsArtLaw

Abstract

fetched live from OpenAlex

In a number of countries today, borrowing from a discussion that originated in Anglo-Saxon countries, there is an increasingly insistent discussion of historical GIS as one of the stars of the digital humanities galaxy. The reasoning has been addressed, albeit with some delay and distinctly by disciplinary sectors, in a number of contributions and congresses and has seen the prevalence of a substantial acceptance of this thesis that pegs historical GIS as a component of the macro-sector of digital humanities. An alternative reading on the real convenience of maintaining a rather disciplinary distance between both is offered for the purposes of cognitive growth. It is therefore not a question of establishing primaries or hegemonies of one over the other but rather a “call to arms” (historians, geographers, urban planners, archaeologists, ecologists, etc.) by leveraging the scientific heterogeneity (interdisciplinarity), offering space for common dialogue. Thus, through the uniting of different forces that individually remain partial and marginal in the use of historical GIS will it be possible to consider real growth that can enable an effective enrichment of geographical-historical-cartographic research based on the use of GIS in face of the digital humanities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
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 head0.027
GPT teacher head0.249
Teacher spread0.222 · 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 teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicPhilosophy, History, and HistoriographyFrench-language works237,207