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Women, Feminism and Italian Cinema Archives from a Film Culture

2021· book· en· W6886136674 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2021
Typebook
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterFeminismMainstreamAgency (philosophy)PopularityPerspective (graphical)PoliticsPopular culture

Abstract

fetched live from OpenAlex

Represents the first comprehensive reconstruction of Italian women's film cultures of the 1960s and '70sProvides an innovative, intersectional feminist methodology to cinema history, adopting stand-point theory, archival theory and addressing questions of nostalgia and anachronismCase studies enrich the understanding of cinema's socio-cultural role in Italy, and addressing, in an engaging way, key concerns for feminist cinema historyOffers an emphasis on women's affective and active relationship with cinema offers an innovative approach to cultural production and consumptionInvestigates, for the first time, the relationship between Italian second-wave feminism and mainstream cinema, with a comparative perspective with other national contexts (US, France, Canada)Italian cinema experienced its peak of domestic and international popularity in the years between the 'economic miracle' of the late 1950s and the social and political turmoil of the 1970s. But how did the growing development of the feminist movement in this period impact on Italian film culture? And what role did that film culture play in women's lives?This book explores the multiple intersections between feminism and Italian cinema from the perspective of women's everyday relationship with the medium. Drawing from a feminist approach to Gramscian cultural theory, the book builds an archival counter-history of Italian cinema in which women took part as movie-goers, activists and practitioners, by means of a collective-historical agency that challenged cinema's patriarchal structures and strategies of invisibilisation

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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