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Enregistrement W4387889474 · doi:10.3167/hrrh.2023.490301

Digital Humanities—Ways Forward; Future Challenges

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

Notice bibliographique

RevueHistorical Reflections/Réflexions Historiques · 2023
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueDigital Humanities and Scholarship
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésScholarshipDigitizationDigital humanitiesDigital scholarshipField (mathematics)Digital RevolutionPolitical scienceData scienceEngineering ethicsSociologyComputer scienceWorld Wide WebEngineeringLawTelecommunications

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,033
score de la tête « metaresearch » (Gemma)0,033
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,969
Score d'incertitude au seuil0,177

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0330,033
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,005
Études des sciences et des technologies0,0090,031
Communication savante0,0310,055
Science ouverte0,0030,016
Intégrité de la recherche0,0170,023
Charge utile insuffisante (le modèle a refusé de juger)0,0210,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,141
Tête enseignante GPT0,284
Écart entre enseignants0,143 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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