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Record W4378419001 · doi:10.1080/13569783.2023.2168187

Post Alice in conversation

2023· article· en· W4378419001 on OpenAlexaffabout
Taylor Marie Graham, Terre Chartrand, Heather Marie Annis

Bibliographic record

VenueResearch in Drama Education The Journal of Applied Theatre and Performance · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAlice (programming language)ConversationIndigenousCharacter (mathematics)Style (visual arts)Art historySociologyHistoryGenealogyArtGender studiesLiteratureBiologyCommunicationEcologyMathematics

Abstract

fetched live from OpenAlex

Settler-Canadian playwright and scholar Taylor Marie Graham and non-status Algonquin writer and artist Terre Chartrand discuss their conversation-style cultural exchange and working process on Post Alice, a new play produced at the Here For Now Festival in 2021. Post Alice, while being inspired by four rural women from four short stories by Nobel Prize winning author Alice Munro, also references the history of Missing and Murdered Indigenous Women, Girls, and Two-Spirit People in Canada. French, Scottish, and Mi’kmaq actor Heather Marie Annis describes her experience of inhabiting Oneida, a character with Haudenosaunee family ancestry in Post Alice.

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)0.002
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: Other
Teacher disagreement score0.171
Threshold uncertainty score0.571

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.005
Scholarly communication0.0080.005
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1710.040

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 head0.053
GPT teacher head0.326
Teacher spread0.273 · 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
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

Citations1
Published2023
Admission routes2
Has abstractyes

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