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Record W2624462001 · doi:10.16997/wpcc.131

An IntervIew wIth Maria DiCenzo, London AprIl 2011

2017· article· en· W2624462001 on OpenAlexaffabout
Kristin Skoog

Bibliographic record

VenueWestminster Papers in Communication and Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMcMaster UniversityWilfrid Laurier University
Fundersnot available
KeywordsSuffrageEmancipationMedia studiesPoliticsSociologyFeminismPublic sphereRepresentation (politics)DisciplineWomen's suffrageGender studiesHistorySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Dr Maria DiCenzo is Associate Professor of English and Film Studies at Wilfrid Laurier University (Canada).1 Her research focuses on feminist media history, particularly late nineteenth- and early twentieth-century women’s print media and social movements, as well as twentieth-century British political theatre. DiCenzo has published widely on the late Victorian and Edwardian feminist periodical press, and she has also provided thoughtful and provocative commentary on the development of feminist media history and its relations to the broader field of media history. Her latest book, Feminist Media History: Suffrage, Periodicals and the Public Sphere (Palgrave Macmillan, 2011), co-authored with Dr Lucy Delap (St Catharine’s College, Cambridge, UK) and Dr Leila Ryan (McMaster University, Canada), further considers the methodological and disciplinary debates currently shaping feminist media history. Through several case studies the book also highlights and builds on the complexity of early feminist media: its representation and debate of a range of feminist discourses and tactics for the emancipation of women; and, further, how these publications engaged with wider public issues and consequently the general press, therefore adding to our broader understanding of press history. As such, the book is a valuable attempt to address new directions and ways of breaking away from the marginalization or ‘separation’ of feminist (and women’s) media history. Hence, the book works as a good starting point for further engagement and discussion about the field.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.810
Threshold uncertainty score0.990

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2017
Admission routes2
Has abstractyes

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