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Record W7047430165

First Drafts, February 2022

2022· article· en· W7047430165 on OpenAlexaboutno aff

Bibliographic record

VenueSOURCE Sheridan's Institutional Repository (Sheridan College) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalMainstreamMultitudeWonderPeriod (music)CornerstoneHappeningPerforming arts
DOInot available

Abstract

fetched live from OpenAlex

Sheridan’s new works development program, First Drafts, is a platform that champions writers creating original musicals that break away from the Western canon of Musical Theatre. Each installment of the initiative supports three teams of writer/composers to generate 30 minutes of a new musical to be developed with and performed by Sheridan’s fourth year students. This writing development program perfectly encapsulates Sheridan’s dual interest in training exceptional musical theatre performers, and using our resources to create an engine for producing a more diverse canon of work, one that speaks to the issues we’re facing presently, and represents the stories of the next generation.\nThis year we’re thrilled to be partnering with The Musical Stage Company, who are devoted to the expansion of new musical works, in order to strengthen our connection to what feels relevant in mainstream musical theatre, engage our students and invited artists in dialogue about how to expand their practice, and generate further connections for our writers and graduating performers with a company that represents a cornerstone of progress in the development of new Canadian musical theatre.\nTiny Tenements of TerrorAfter 57 days in stasis, Aubry and 10 of Brooklyn's finest cops must return to her dead boyfriend’s spore-infested apartment to destroy the multitude of plant-monsters he created. TINY TENEMENT OF TERRORS is an unholy fusion of gory 80’s sci fi and 1960’s camp, all done through the wonder of radio.\nDirector: Jay Northcott Writer: Alaska B. Writer: Aaron Jan Music Director: Robert Steven Wilkinson\nDestination: Wedding!When a tropical storm descends on the island of Kapalaran, our "nearlyweds" are forced to move the beach wedding of their dreams indoors. This not-so-simple relocation immediately becomes the least of their problems. In the midst of a hurricane of drama and homicidal coconuts, our couple must let go of their best laid wedding plans and trust that their love will find a way through the storm.\nDirector: Ann Hodges Associate Director: Jordan Laffrenier Writer: Kodie Rollan Writer: Jennifer Villaverde Writer: Maria Aragon Music Director: Stephan Ermel\nParkdaleWelcome to 110 Parkdale Ave, the last subsidized low rise building in the neighbourhood. It's special, but you can’t tell that from the outside. The building is far from perfect, but for the tenants who occupy its cracked walls and uneven floors, it’s home. When the tenants are faced with an eviction notice, they (reluctantly) step out of their bubbles to band together as a community in order to save their homes.\nDirector: Julie Tomaino Writer: Meghan Swaby Writer: Chris Tsujiuchi Music: Alexa Belgrave

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
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
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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.

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
Published2022
Admission routes1
Has abstractyes

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