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Record W2789597170 · doi:10.1177/1464700117721883

Backward glances: Feminism, nostalgia and Joan Braderman’s <i>The Heretics</i> (2009)

2017· article· en· W2789597170 on OpenAlexafffund
Michelle Meagher, Roxanne Loree Runyon

Bibliographic record

VenueFeminist Theory · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsQueen's UniversityUniversity of Alberta
FundersBrock University
KeywordsFeminismScholarshipStorytellingNarrativeSociologyFraming (construction)Gender studiesFeminist philosophyAestheticsVirtueArtLiteraturePhilosophyLawHistoryEpistemologyPolitical science

Abstract

fetched live from OpenAlex

Although nostalgia is a much-maligned orientation to the world, feminist scholars including Heather Hillsburg (2013) and Kate Eichhorn (2015) have argued that it might be recuperated for feminist ends. This article mobilises the call to rethink nostalgia through an analysis of the feminist stories and storytelling in Joan Braderman’s 2009 film, The Heretics. A documentary about a feminist collective founded in New York City in the 1970s, The Heretics sets up a way of thinking about feminism’s past that is steeped in nostalgia. Throughout the film, Braderman maintains that the 1970s were ‘a time when everything seemed possible’. By contrast, she assesses the moment in which she makes the film as a time in which ‘fear corrodes even the young’. As feminist viewers of the film who did not (indeed by virtue of age could not) experience feminism in the 1970s, we initially read the nostalgic narrative of loss framing the film with suspicion. By drawing on feminist scholarship on nostalgia and feminist storytelling, however, we argue that nostalgia can function in what Eve Kosofsky Sedgwick (2003) would call a reparative mode that enriches the relationships that feminist scholars, activists and cultural workers bear to feminisms’ pasts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.031
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0030.010
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 head0.031
GPT teacher head0.316
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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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