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Record W2509463583 · doi:10.3138/ctr.167.002

On the Drama of Canadian Public Arts Funding: An Analysis of Justin Trudeau’s Mandate Letter to Mélanie Joly

2016· article· en· W2509463583 on OpenAlexvenueaboutno aff
Fannina Waubert de Puiseau

Bibliographic record

VenueCanadian Theatre Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsMandateThe artsContext (archaeology)ConversationGovernment (linguistics)SociologyDramaDemocracyPolitical scienceLawPublic administrationMedia studiesVisual artsHistoryPoliticsArt

Abstract

fetched live from OpenAlex

This article is both an analysis of Prime Minister Justin Trudeau’s mandate letter to the Minister of Canadian Heritage Mélanie Joly and a call to action to Canadian artists. I argue that, in order to ensure a sustainable and productive realization of Justin Trudeau’s plans for Canadian arts and culture, we, as artists, must construct a clear vision for the importance of arts and culture to the health of our democracy and clearly communicate that vision to government. Unless Trudeau’s promises are embedded in that kind of vision—a universally acknowledged central purpose—his promises create no new security for Canadian artists. Concretely put, we must overcome our inertia, extract ourselves from our current economic context, and reacquaint ourselves with our actual purpose. Why do we make art? Why is it important that we do? We must become agents of our own identities, lives, and livelihoods by changing the conversation about arts and culture in Canada from the bottom up. It is essential and timely that we reconfigure the terms with, and the context within which, arts and culture are currently defined.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.906
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.106
GPT teacher head0.303
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

Citations3
Published2016
Admission routes2
Has abstractyes

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