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Record W2996621516 · doi:10.18357/tar101201918930

Big Daddy Lives or Don’t Say the F Word: Intersectional Feminist Directing in Theory and in Practice

2019· article· en· W2996621516 on OpenAlexaffvenue
Lauren Kathleen Frost

Bibliographic record

VenueThe Arbutus Review · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOppressionFeminismIntersectionalitySociologyGender studiesFeminist theoryIdentity (music)Representation (politics)White (mutation)Black feminismFeminist philosophyFeminist pedagogyAestheticsArtPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

As a theatre and gender studies double major at the University of Victoria, I have been ableto critically think about the ways each of my fields of study could benefit the other. In myexperience, many courses in the UVic Department of Theatre generally focus on dramatic texts andtheoretical literature written by white men. Consequently, contributions to the theatre by women,people of colour, and/or non-Western theatre practitioners are largely dismissed or ignored. Myfrustration with this pattern was what led me to create Big Daddy Lives or Don’t Say the F Word,a part scripted, part devised performance piece that staged scenes from classic and contemporaryplays using directing theory written by feminists, for feminists. I curated the excerpts, wrote thetransition-text, and directed the play using an intersectional feminist framework. The project wasan experiment in applying intersectional feminism to theatre directing in order to critique the waythe male-dominated canon of plays and theories shapes theatre education. Through this project, Ifound that intersectional feminist directing techniques foster collaboration; encourage discussionand mutual education about identity, oppression, and representation; and can be applied to theproduction of both classics and contemporary feminist plays and to the creation of new work by anensemble.

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)0.002
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 score0.950
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.295
Teacher spread0.264 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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