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Record W1525164420 · doi:10.3138/tric.34.2.281

Merrill Denison: The Political and Modernist Writer at 120

2013· article· en· W1525164420 on OpenAlexaffvenueabout
Allana C. Lindgren

Bibliographic record

VenueTheatre Research in Canada · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVanguardPoliticsDramaContext (archaeology)CitizenshipSociologyAestheticsLiteratureMedia studiesHistoryArtLawPolitical science

Abstract

fetched live from OpenAlex

June 23, 2013 marks 120 years since the birth of Merrill Denison, a playwright, radio dramatist, essayist, journalist, environmental advocate, and writer of corporate histories. 2 His embrace of Canadian subjects as well as his success in crafting a living for himself as a professional writer during the early twentieth century set him apart from many of his contemporaries. Despite his numerous accomplishments, Denison has arguably receded from our collective memory. 3 It is possible that time has not been kind to him because he was a populist who strove to achieve commercial success. However, to dismiss Denison for a presumed lack of artistic gravitas is to ignore the political and aesthetic importance of his work. The social issues he addressed, including transnational citizenship, rural poverty, women’s rights, and the environment, remain timely. In addition, he was a writer at the vanguard of the Little Theatre Movement in Canada, and one of the early innovators of literary genres such as radio drama and creative non-fiction. Within this context, the brief overview of Denison’s career that follows is intended not only to celebrate the birth of this prolific writer, but also to highlight some of the ways his work resonates today.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.126
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0300.006
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.070
GPT teacher head0.332
Teacher spread0.262 · 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
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
Published2013
Admission routes3
Has abstractyes

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