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Record W2119790447 · doi:10.1080/00420980120084840

A Hybrid Agglomeration? The Development of a Satellite-Marshallian Industrial District in Vancouver's Film Industry

2001· article· en· W2119790447 on OpenAlexaboutno aff
Neil M. Coe

Bibliographic record

VenueUrban Studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodStudioIndustrial districtFilm industryEconomies of agglomerationVariety (cybernetics)State (computer science)Economic geographyEconomyBusinessEconomic growthEngineeringTelecommunicationsEconomicsMovie theaterComputer scienceHistory

Abstract

fetched live from OpenAlex

The new industrial district is now seen as one of several dynamic regional formations that may co-exist in contemporary economies. In addition to the traditional Marshallian or Italianate variety, Markusen has suggested three other forms of industrial district: the hub-and-spoke district, the satellite platform and the state-anchored district. In this article, developments within the North American film industry are used to illustrate the dynamics of a 'hybrid' industrial district form, which is termed the satellite-Marshallian district. A detailed case study is presented of the film production complex in Vancouver, which has risen to prominence as Hollywood studios and television networks have continued to increase their offshore location shooting. The analysis is based upon a series of in-depth interviews undertaken with key agents associated with the Vancouver film industry in the second half of 1997.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.643

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.100
GPT teacher head0.326
Teacher spread0.226 · 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

Citations162
Published2001
Admission routes1
Has abstractyes

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