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Record W2754643028 · doi:10.16995/dscn.12

Chapter 12</br>Evaluating digital remediations of women's manuscripts

2016· article· en· W2754643028 on OpenAlex
Laura Estill, Michelle Levy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueDigital Studies / Le champ numérique · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsImmediacyArtDigitizationHumanitiesClass (philosophy)Digital humanitiesArt historyComputer sciencePhilosophyTelecommunicationsArtificial intelligence

Abstract

fetched live from OpenAlex

<p id="d1e37">In this chapter, we assess how existing digital projects that feature women's manuscripts (c. 1550-1900) can aid research on literature, history, and cultural studies. We argue that the best digital remediations of women's manuscripts contribute, paradoxically, both to their hypermediacy (those elements that remind users they are not faced with a manuscript) and their immediacy (those aspects that hide the remediation and encourage users not to reflect on the medium). We showcase the range of scholarly engagement possible through a variety of sites, including <em id="d1e39" class="titlem"> British Literary Manuscripts Online</em>, <em id="d1e42" class="titlem">Perdita Manuscripts</em>, and <em id="d1e45" class="titlem">Jane Austen's Fiction Manuscripts</em>. Analyzing these resources demonstrates how they can best be used by teachers and scholars. By evaluating digital remediations of women's manuscripts, we highlight best practices for manuscript digitization and point to new directions for digital projects and literary study. <p id="d1e48"> Dans ce chapitre, nous évaluons comment les projets numériques qui présentent les manuscrits des femmes (vers 1550-1900) peuvent aider la recherche en littérature, en histoire et en études culturelles. Nous soutenons que les meilleures remédiations numériques de manuscrits de femmes contribuent paradoxalement à la fois à leur hypermédialité (ces éléments qui rappellent à l’utilisateur qu’il n’est pas confronté à un manuscrit) et leur instantanéité (ces aspects qui dissimulent la remédiation et encouragent l’utilisateur à ne pas songer au médium). Nous présentons la gamme d’engagements érudits possibles par l’entremise de plusieurs sites, incluant British Literary Manuscripts Online (Manuscrits littéraires britanniques en ligne), Perdita Manuscripts, et Jane Austen’s Fiction Manuscripts. L’analyse de ces ressources démontre comment celles-ci peuvent être le mieux utilisées par les professeur(e)s et les universitaires. En évaluant les remédiations numériques des manuscrits de femmes, nous mettons en évidence les meilleures pratiques pour la numérisation de manuscrits et ouvrons la voie à de nouvelles orientations pour les projets numériques et les études littéraires.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0000.000
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 head0.088
GPT teacher head0.262
Teacher spread0.174 · 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