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Record W7100199452

The LA Motion Picture Industry Cluster

2006· article· en· W7100199452 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPosition (finance)ImmigrationGoods and servicesPer capitaPer capita incomeGross domestic productWorld populationWorld economy
DOInot available

Abstract

fetched live from OpenAlex

1.1. The US economic performance and the national business environment 1.1.1. Country profile and overall economic performance The United States is today the only global superpower, with a dominant position in economic, military and cultural terms. Although the United States represents less than 5 percent of the world's population, it is the World’s largest economy with a GDP of $11.7 trillion in 2005, accounting for 28.5 % of world GDP. The US also ranks fourth in income per capita ($33,041). The third largest country in the world, the US benefited in its economic development from a large market and important natural resources. Population expanded rapidly thanks to large waves of immigration and reached 293.6 million in 2005. The United States has large mineral resources a fertile farm soil, a moderate climate. It also has extensive coastlines on the Atlantic and Pacific Oceans as well as on the Gulf of Mexico. The American economy is today more closely intertwined with the global economy than it has ever been. The North American Free Trade Agreement (NAFTA) has further increased economic ties between the United States and its largest trading partners, Canada and Mexico. US share in world merchandise exports is high (9.1%, ranked 2nd) but decreasing (-3.3 % between 1998 and 2004). However, the US was less trade dependent than the OECD average (trade in goods represented 18,5 % of GDP in 2005). The main economic sectors in the US were business services and financial services in terms of employment and hospitality/tourism, automotives, business services and information technology in terms of export value. The fastest growing sectors were education/knowledge, business services and entertainment in terms of employment and petroleum products and biopharmaceuticals in terms of good exports.

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)0.002
metaresearch head score (Gemma)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0120.006
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8260.825

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 head0.018
GPT teacher head0.269
Teacher spread0.250 · 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 designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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