MétaCan
Menu
Back to cohort
Record W4389675959 · doi:10.1353/his.2023.a914572

Digital Humanities, Citizen Science and Feminist History: The Promise and Limits of Digital Mapping

2023· article· en· W4389675959 on OpenAlexvenueno aff
Marc Calvini-Lefèbvre, Lucy Delap, Sarah Richardson, Claire Sorin-Delpuech

Bibliographic record

VenueHistoire sociale · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesDigital humanitiesConversationArt historyArtFeminismSociologyMedia studiesGender studies

Abstract

fetched live from OpenAlex

Abstract: One of the co-editors of this special issue of Histoire sociale / Social History, Marc Calvini-Lefebvre, is currently running a digital mapping project which seeks to crowdsource information about the sites of memory dedicated to the suffrage movement around the world and geolocate them on an open-software map. His initiative is one of many digital mapping projects launched by historians of feminism around the world as a means of spreading knowledge about the feminist past to ever-wider audiences but also of exploring new research questions via the methods of the digital humanities. To discuss the promise and limits of digital mapping, Histoire sociale / Social History invited Lucy Delap (University of Cambridge), Sarah Richardson (then University of Warwick, now University of Glasgow), and Marc Calvini-Lefebvre (Aix-Marseille Université) to participate in a forum chaired by Claire Sorin-Delpuech (Aix-Marseille Université). The conversation was edited by Marc Calvini-Lefebvre. L’un des co-rédacteurs de ce numéro spécial d’Histoire sociale / Social History, Marc Calvini-Lefebvre, dirige actuellement un projet de cartographie numérique dont le but est de rassembler des informations sur les lieux de mémoire dédiés au mouvement pour le droit de vote des femmes dans le monde entier et à les géolocaliser sur une carte en logiciel libre. Son initiative est l’un des nombreux projets de cartographie numérique lancés par des historiennes et historiens du féminisme à travers le monde afin de diffuser les connaissances sur le passé féministe auprès d’un public de plus en plus vaste, mais aussi pour explorer de nouvelles questions de recherche à l’aide de méthodes propres aux humanités numériques. Pour discuter des promesses et des limites de la cartographie numérique, Histoire sociale / Social History a invité Lucy Delap (Université de Cambridge), Sarah Richardson (à l’Université de Warwick au moment du forum mais désormais à l’Université de Glasgow), et Marc Calvini-Lefebvre (Aix-Marseille Université) à participer à un forum présidé par Claire Sorin-Delpuech (Aix-Marseille Université). La conversation a été éditée par Marc Calvini-Lefebvre.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.008
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.226
Teacher spread0.159 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHistoire socialeSame topicOral History, Memory, Narrative AnalysisFrench-language works237,207