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Record W7100049002

Toronto’s Cultural Renaissance:

2008· article· en· W7100049002 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionDiversity (politics)PoliticsCorporate governanceCultural institutionCultural politicsCultural studiesPopular culture
DOInot available

Abstract

fetched live from OpenAlex

The Robarts Centre for Canadian Studies has taken on an engagement to publish a series of reports on the best practices of Toronto’s cultural institutions. To address the richness and diversity of Toronto’s museum culture, the Robarts Centre has established a working group of graduate students from political science and culture and communication to research and map the exciting transformations to the Royal Ontario Museum, the Hockey Hall of Fame, the McMichael Gallery and the Powerplant. These institutions, both popular and elite, highly commercialized and iconic, differ enormously in the size and complexity of their collections. Some are privately owned and others are public institutions. With hundreds of millions of dollars spent on modernizing and expanding the Art Gallery of Ontario, the Royal Ontario Museum and other institutions, what are we to make of these dramatic changes to the way we understand Toronto’s public culture? Toronto’s cultural institutions are shaped by complex mandates driven by governance structures, commercial needs, educational outreach, and curatorial vision. Each institution is struggling to reach out to highly diverse publics, and this attempt to connect strategically

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.131
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0200.008
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0240.001

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 head0.074
GPT teacher head0.243
Teacher spread0.169 · 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
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
Published2008
Admission routes1
Has abstractyes

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