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Record W4416060091 · doi:10.1093/llc/fqaf080

Enhancing research and teaching capacity through collaboration: building a UK–Ireland Digital Humanities Association

2025· article· en· W4416060091 on OpenAlexaff
Jane Winters, Arianna Ciula, Michael Donnay, Jennifer Edmond, Paul Gooding, Órla Murphy, Kristen Schuster, Justin Tonra, Charlotte Tupman

Bibliographic record

VenueDigital Scholarship in the Humanities · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsTrinity College
FundersArts and Humanities Research CouncilIrish Research Council
KeywordsCentralityOpenness to experienceAssociation (psychology)Field (mathematics)Digital humanitiesSubject (documents)

Abstract

fetched live from OpenAlex

Abstract This article discusses the development of a Digital Humanities (DH) Association for the UK and Ireland. It explores processes for evidence gathering, methods for building community through consultation, approaches to defining values and purpose through collaboration, and how to practise openness that is both radical and responsible. It begins by outlining the landscape of DH in the UK and Ireland, highlighting differences and similarities between the two countries. Next, it addresses four key areas of focus in the planning for the new Association: community, consultation, and inclusivity; the importance of advocacy for DH and the role of a DH Association in national policy-making; the centrality of training and the development of career pathways in and from DH; and how to go about implementing a values-led organization. Finally, it reflects on the value of international collaboration in the field of DH, both between Ireland and the UK and among international subject associations and infrastructures.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0420.011
Open science0.0010.000
Research integrity0.0000.002
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 head0.113
GPT teacher head0.322
Teacher spread0.209 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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