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Record W4323322053 · doi:10.16995/dscn.9601

Colonial and Nineteenth-Century Latin American Studies and Digital Public Humanities

2023· article· en· W4323322053 on OpenAlexvenueno aff
Clayton McCarl, Emma Slayton, Carolina Alzate, George Aaron Broadwell, Xóchitl M. Flores-Marcial, Brook Danielle Lillehaugen, Felipe H. Lopez, Siobhan Meï, May Helena Plumb, Ernesto Priani Saisó, Jonathan Michael Square

Bibliographic record

VenueDigital Studies / Le champ numérique · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipDigital scholarshipRealmLatin AmericansColonialismPolitical sciencePublic engagementMedia studiesSociologyPublic relationsLibrary scienceLawComputer science

Abstract

fetched live from OpenAlex

Scholarship in colonial and nineteenth-century Latin American studies often does not reach beyond specialized academic audiences. The majority of work continues to be largely traditional in nature, with monographs, journal articles, and book chapters remaining the most common types of publications.Only a small portion of that production is distributed in an open-access format online, and even when that is the case, such scholarly output is generally not conceived with broader publics in mind, and engagement with stakeholder communities seldom plays a role in its creation.Digital methodologies and tools present opportunities to explore new modes of scholarly production and publication in these fields. Researchers working in a digital realm are designing and carrying out projects that speak to contemporary communities and involve diverse constituencies in new ways. Without seeking to supplant the more conventional scholarship that grounds their fields, these scholars are asking questions about how we conduct academic work in the twenty-first century and how we can make the products of our work relevant to larger audiences.This article examines five digital projects through which scholars of colonial and nineteenth-century Latin America are conducting work that looks outward from the academy towards inclusive scholarship: Ticha, the Biblioteca Digital Soledad Acosta de Samper, the Mexico team of the multinational project Oceanic Exchanges, Rendering Revolution, and coloniaLab. Through a commitment to producing scholarship for, and in collaboration with, diverse communities,these projects suggest models for conducting the work of colonial and nineteenth-century Latin American studies in the public sphere.Les études sur l'Amérique latine coloniale et du XIXème siècle ne s'adressent souvent qu'à un public universitaire spécialisé. Seule une petite partie de cette production est distribuée en ligne dans un format à accès libre, et même lorsque c'est le cas, cette production scientifique n'est généralement pas conçue pour un public plus large, et l'engagement avec les communautés concernées joue rarement un rôle dans sa création.Les méthodologies et les outils numériques offrent la possibilité d'explorer de nouveaux modes de production et de publication scientifiques dans ces domaines. Sans chercher à supplanter la recherche plus conventionnelle qui fonde leurs domaines, ces chercheurs posent des questions sur la manière dont nous menons le travail universitaire au XXIe siècle et sur la manière dont nous pouvons rendre les produits de notre travail pertinents pour des publics plus larges. Cet article examine cinq projets numériques dans le cadre desquels des chercheurs de l'Amérique latine coloniale et du XIXème siècle mènent des travaux qui s'éloignent de l'académie pour s'ouvrir à un public plus large : Ticha, la Biblioteca Digital Soledad Acosta de Samper, l'équipe mexicaine du projet multinational Oceanic Exchanges, Rendering Revolution et coloniaLab. En s'engageant à produire des études pour diverses communautés et en collaboration avec elles, ces projets proposent des modèles pour mener à bien le travail des études latino-américaines coloniales et du dix-neuvième siècle dans la sphère publique.

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)0.000
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0000.001
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 head0.084
GPT teacher head0.269
Teacher spread0.185 · 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 designQualitative
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

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