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Record W2148029510 · doi:10.1177/1527476403255829

Global Vistas and Local Reflections

2006· article· en· W2148029510 on OpenAlexaffabout
Serra Tinic

Bibliographic record

VenueTelevision & New Media · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSociocultural evolutionHollywoodGlobal citySociologyPoliticsMedia studiesBroadcasting (networking)Identity (music)Political sciencePublic relationsAdvertisingBusinessHistoryLaw

Abstract

fetched live from OpenAlex

This article examines the relationship between cultural identity and televisual representations of global and local community formations through a case study of television production in Vancouver, Canada. As part of a larger economic and political project to establish Vancouver as a global city, the provincial government sought to attract runaway Hollywood production and establish Vancouver as a global media center. This integration into the American production system has, according to some scholars, led to the development of a local television industry that erases the sociocultural specificity of the lived place of Vancouver in a manner contrary to the nation-building goals of Canadian broadcasting policies. Drawing on archival research and interviews with television producers, this case study illustrates the contradictions in global media practices and finds that often the most local, and overlooked, community media outlets are best able to reflect the sociocultural specificities of life in the globalizing metropolis.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.293
Threshold uncertainty score0.582

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.017
Scholarly communication0.0110.003
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0180.001

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 head0.046
GPT teacher head0.326
Teacher spread0.280 · 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

Citations5
Published2006
Admission routes2
Has abstractyes

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