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Record W4387889474 · doi:10.3167/hrrh.2023.490301

Digital Humanities—Ways Forward; Future Challenges

2023· article· en· W4387889474 on OpenAlexvenueno aff
Sally Debra Charnow, Jeff Horn, Jeffrey S. Ravel, Cindy Ermus, David Joseph Wrisley, Christy Pichichero, David K. Smith

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipDigitizationDigital humanitiesDigital scholarshipField (mathematics)Digital RevolutionPolitical scienceData scienceEngineering ethicsSociologyComputer scienceWorld Wide WebEngineeringLawTelecommunications

Abstract

fetched live from OpenAlex

Abstract Have digital tools and methods accelerated the rate of scholarly production over the last 20 years? If so, has this acceleration been beneficial for scholarship? This article considers examples of accelerated historical scholarship as well as calls for a “slow history.” Through an analysis of the author's own experiences with the digital humanities, it examines the advantages and disadvantages of digital technologies in the field of history. It concludes that online resources and digital technologies have expanded the archive for the historian and created new ways to reach other specialists and the general public. Nevertheless, historical scholarship must still rely on carefully crafted, well-argued prose whose production cannot be accelerated by new digital technologies, although recent developments in the field of artificial intelligence may ultimately challenge this situation. In recent decades, the field (or, at times, discipline) of digital humanities (DH) has revolutionized the scholarly profession and beyond—and with good reason. Seen at times as a democratizing force, DH has led to the creation of an increasing number of open- access databases and scholarly publications, the launching of massive archival digitization initiatives, and the development of numerous digital tools that help streamline the work of the academic researcher, student, and educator. In many ways, then, its benefits are manifest. Yet, recent years have also begun to reveal numerous problems that could influence various aspects of our trade as well as what—and how—information will be available in the future. This article discusses some of the advantages and disadvantages of DH and invites the reader to reflect on what we can do to help mitigate these problems. Exciting new modes of digital scholarship have emerged in recent years, providing us with expanded windows onto the past. This process has been accelerated by somewhat democratized ways of digitizing and analyzing source material. A main issue of contemporary knowledge production using digitized sources is how power can so easily be reinscribed into access to archives. The choice to digitize collections, even the existence of collections themselves, creates a great opportunity for research but also runs the risk of reinforcing the privilege and worldviews that have shaped and continue to shape the very processes of digitization and digitalization. Drawing on examples of Western and non-Western digital scholarship, this article argues that, although the digital facilitates greater public knowledge of collections, when it comes to decolonizing our research subjects, it also introduces significant layers of complexity. This article advances an analysis of the development and state of critical digital humanities. It posits two modalities for this approach to digital humanities (DH). The first is a modality of inward-looking, functional self-critique that comprises a rethinking of computational genesis stories, logics and methods, institutions and infrastructures, and digital capitalism, and the second is an outward-looking critique best understood as a form of situated sociopolitical engagement that embraces epistemic and social justice projects that are decolonial, anti-racist, inclusive, collaborative, and multilingual. Through these analyses, the article offers a vision of critical digital humanities in its mission to critique the ideologies, social inequities, and epistemological hierarchies that are built into technological products and computational logics and that are concomitantly fostered by knowledge- creation industries of universities, corporations, governments, and the GLAM[R] sector. In this way, the article shows how critical digital humanities helps us to envision the role that DH can play in processes of recovery, reparations, emancipation, and community-building. Drawing upon over 20 years as Editor-in-Chief of H-France, I argue that the scholarly profession, established in Cold War era, pre-digital institutions, has only begun to adapt to the transformations introduced by the global digital humanities. A generational shift is currently underway as younger scholars more natively adept with digital technologies use their skills and forms of new media to press for changes in hiring and tenure practices, to demand greater progress on diversity, equity, and inclusion (DEI) issues, and to insist that the academy confront the collapse of academic positions in the humanities and provide training for and recognition of alternative career paths. I call upon professional organizations to undertake difficult conversations and take leadership in reshaping professional organizations for a post–Cold War, digital age, especially in terms of funding priorities. Scholarly organizations will best gain influence through collaboration.

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)0.033
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0090.031
Scholarly communication0.0310.055
Open science0.0030.016
Research integrity0.0170.023
Insufficient payload (model declined to judge)0.0210.003

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 head0.141
GPT teacher head0.284
Teacher spread0.143 · 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
GenreReview

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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