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Record W2143199403 · doi:10.1177/0160017608318521

The Left Brain of North American Cities

2008· article· en· W2143199403 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Regional Science Review · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMetropolitan areaCensusHuman capitalScience and engineeringEconomic geographyCapital (architecture)PopulationRegional scienceDemographic economicsEconomic growthGeographyEconomicsSociologyEngineeringDemography

Abstract

fetched live from OpenAlex

Using pooled Census of Population data for 242 metropolitan areas, this paper evaluates the link between long-run employment growth and the supply of different types of skilled labor. It also examines factors related to the growth of a particular type of skilled labor—workers in science and engineering occupations. The first part of the article investigates the contribution of broad and specialized forms of human capital to long-run changes in urban employment from 1980 to 2000. It places particular emphasis on workers in science and engineering and culture occupations. The second part of the article focuses on factors that influence the growth of science and engineering employment across metropolitan areas. It examines whether the scientific capabilities of cities are influenced by amenities such as the size of the local cultural sector.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.267
Teacher spread0.215 · 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