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Record W4404599862 · doi:10.1386/ap3_00052_1

Animated documentary as a feminist practice

2024· article· en· W4404599862 on OpenAlexaff
Anastasiia Gushchina

Bibliographic record

VenueAnimation Practice Process & Production · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSociologyVisual artsArt

Abstract

fetched live from OpenAlex

This article discusses animated documentaries as a feminist artistic practice. It explores the production practices of independent animated documentaries produced by women and considers existing concerns around commercial animation industry practices historically associated with feminized labour. This article argues that animated documentaries produced by female artists implement hybrid aesthetics and follow broader production trends of multidisciplinary feminist art. Specifically, I focus on the female artists’ commitment to material aesthetics through their use of stop-motion. I examine the effects production environments have on the look of the finished films and on our understanding of labour practices that shape the animation industry. Here, I turn to Childhood Memories (2018) and In the Shadow of the Pines (2020), the films that offer female perspectives on the topics of identity, memory and craft, while the contexts of their production position animated documentaries among feminist art practices.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.025
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.032
GPT teacher head0.392
Teacher spread0.359 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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