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Record W3082952478 · doi:10.11575/prism/37737

Making the Call: Reflections on This Is War

2020· dissertation· en· W3082952478 on OpenAlexaboutno aff
John Milton Knight

Bibliographic record

VenueOpen MIND · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsMedia studiesPolitical scienceHistorySociology

Abstract

fetched live from OpenAlex

This Is War by Hannah Moscovitch was produced by the University of Calgary Drama Division in the School of Creative and Performing Arts. It was presented in The University Theatre from October 18th to 26th, 2019. This artist statement is a critical reflection of the creative process leading up to the production, the production itself, and the audience response to the production. Chapter One describes how I first came to be aware of the play, what drew me to be interested in directing it, and what major themes and questions I explored throughout the creative process. The second chapter contextualizes the play within my research, detailing my focus on trauma as a central element to understanding the script. Chapter Three analyzes my working relationship with the production’s designers and explores the decision-making processes that led to our final designs. The fourth chapter outlines the approach from preparation for rehearsal, auditions, rehearsals, and into performance. Chapter Three and Chapter Four also detail in-process discoveries and learnings. The fifth chapter summarizes the audience response to the production as captured through post-show surveys and forum discussions. The final chapter reflects on the primary lessons of the overall process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.002

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 head0.205
GPT teacher head0.457
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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