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Record W1157214521

KATE EICHHORN, The Archival Turn in Feminism: Outrage in Order

2014· article· en· W1157214521 on OpenAlexaff
Rebecka Taves Sheffield

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOutrageFeminismTurn (biochemistry)Order (exchange)Political scienceSociologyChemistryGender studiesBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

The Journal of the Association of Canadian Archivists -All rights reserved and disciplinary lines.Kuhlmann shows that the exhibition's dramatization of archival materials both displays the mutable function and meaning of records and destabilizes the categories by which documents are classified.Similarly, Rivka Syd Eisner, Paul Clarke, and Louise Wolthers, building upon Rebecca Schneider's theorization of re-enactments as documents, describe how embodied archives and re-enactments that take place within the context of museums trouble the distinction between documents and events, and archival records and art.This book persuasively demonstrates that contemporary performancebased artistic practices pose critical questions of archives and archival technologies.However, these demands may not reach archival practice and theory until scholars supplement their analyses of performative practices with current archival scholarship.Indeed, many of the contributors compromise their critiques by levelling them solely against a model of the archive that clings to absolute objectivity, pristine authorship, and steadfast authority -that is, a model that many archival theorists have already contested.The scarcity of archival literature in the collection under review calls for archival scholars interested in performance and embodied cultural records to integrate an understanding of contemporary archival principles and practices into critical assessments of the impact of performative approaches to archiving on current archival tenets.

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)0.003
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.013
Scholarly communication0.0080.012
Open science0.0010.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0060.002

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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