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Record W4375854836 · doi:10.16995/dscn.9597

Towards Accessible, Open, and Ethical Design-Led Digital Humanities Visualization Projects on the Web

2023· article· en· W4375854836 on OpenAlexvenueno aff
Andrew Burrell

Bibliographic record

VenueDigital Studies / Le champ numérique · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsVisualizationWorld Wide WebComputer scienceCode (set theory)Domain (mathematical analysis)Programming languageArtificial intelligence

Abstract

fetched live from OpenAlex

This paper is an exploration of the design and material considerations for creating design-led digital humanities information visualizations using open and accessible web-based tools. It considers how we might approach or even re-approach the high-level material infrastructures of the web (network/code/browser) to facilitate these goals of openness and accessibility—what could perhaps be called a series of meta-considerations when developing visualization projects for the web. It emphasizes code as a material of design—a material that is argued should not always be the exclusive domain of software developers and engineers but can instead be an open and accessible material for, in this case, building dynamic immersive information visualizations. The aim of thinking of code as material in this way is to allow for the possibility of web-based projects being easily accessed and extended by others. It uses the Glossopticon VR visualization as an example throughout.Cet article est une exploration des considérations de conception et de matériel pour créer des visualisations d'information sur les humanités numériques dirigées par la conception en utilisant des outils Web ouverts et accessibles. Il examine comment nous pourrions aborder ou même réapprocher les infrastructures matérielles de haut niveau du web (réseau/code/navigateur) pour faciliter ces objectifs d'ouverture et d'accessibilité - ce que l'on pourrait peut-être appeler une série de méta-considérations lors de l'élaboration de projets de visualisation pour le web. Il met l'accent sur le code en tant que matériau de conception - un matériau qui, selon nous, ne devrait pas toujours être le domaine exclusif des développeurs de logiciels et des ingénieurs, mais qui peut au contraire être un matériau ouvert et accessible pour, dans ce cas, construire des visualisations d'informations dynamiques et immersives. L'objectif de considérer le code comme un matériau de cette manière est de permettre aux projets basés sur le web d'être facilement accessibles et étendus par d'autres. La visualisation Glossopticon VR est utilisée comme exemple tout au long de l'ouvrage.

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)0.047
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.998
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0470.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0060.017
Scholarly communication0.0210.020
Open science0.0020.020
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.202
GPT teacher head0.334
Teacher spread0.132 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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