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Record W3099954881 · doi:10.37867/te120212

THE CANADIAN DOCUMENTARY DRAMA: TRAJECTORY OF ITS GROWTH AND SALIENT FEATURES

2020· article· en· W3099954881 on OpenAlexaboutno aff
Devang Nanavati

Bibliographic record

VenueTowards Excellence · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaSalientPoliticsMythologyColonialismHypocrisyAestheticsHistorySociologyArtLiteraturePolitical scienceLaw

Abstract

fetched live from OpenAlex

The Canadian documentary drama is a unique genre of dramatic art in terms of its conceptual growth, its objectives marked by post-colonial hues and its insistence to explore truth of a given issue holistically. The present paper attempts to discuss as to how a Canadian docudrama differs from the other dramatic genres like history play, problem play or commitment play- in spite of the fact that it certainly weaves into its structure historical data, discusses contemporary social problems and exposes the politics of socio-economic and racial colonization. Although this region-specific dramatic art had become remarkably popular in Canada in 1970s and 1980s, its artistic potential certainly transcends spatio-temporal boundaries because it has the capacity to de-colonize any community by interrogating and undermining the hypocrisy of its existing myths of human progress. Hence, while tracing the development of this stage art, this paper also aims to discuss various features of this art form.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.436

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.010
Science and technology studies0.0120.007
Scholarly communication0.0140.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.025
GPT teacher head0.211
Teacher spread0.187 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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