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Toronto on Screen

2019· reference-entry· en· W2958808605 on OpenAlexaffabout
Ian Robinson

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsVisibilityMedia studiesRepresentation (politics)Identity (music)Section (typography)Feature filmSociologyMediationVisual artsPolitical scienceMovie theaterArtAestheticsAdvertisingLawGeographySocial scienceBusiness

Abstract

fetched live from OpenAlex

This chapter investigates the development of the commercial feature film industry in Toronto from the 1980s. It considers policy frameworks that have supported and regulated film production and the representation of Toronto to argue that the city’s image in film culture can be read as a complex mediation of Toronto’s self-crafted image as a city of film production and culture. The chapter begins by historicizing Toronto’s rise to prominence as a leading center of film production in North America. The second section contemplates how films have rendered, both thematically and aesthetically, the city’s placeless identity. Third, the chapter turns to policies and projects since the 2000s that have sought to redefine Toronto’s cultural policy and reinvigorate its status as a global creative city. The final section considers Toronto’s visibility on screen in a number of post-2000 films and examines how the city’s official image is mediated on screen.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.770
Threshold uncertainty score0.692

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.001
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7700.341

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 head0.079
GPT teacher head0.323
Teacher spread0.243 · 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.

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
Published2019
Admission routes2
Has abstractyes

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