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Public Infrastructure and the Productive Performance of Canadian Manufacturing Industries

2004· article· en· W4246373074 on OpenAlex
Satya Paul, Balbir S. Sahni, Bagala P. Biswal

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSouthern Economic Journal · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsEmployment and Social Development CanadaConcordia University
Fundersnot available
KeywordsPublic infrastructureProductivityPublic capitalCapital (architecture)Industrial organizationEconomicsBusinessDual (grammatical number)Public sectorManufacturingLabour economicsProduction (economics)MicroeconomicsEconomyMacroeconomicsMarketing

Abstract

fetched live from OpenAlex

This article examines the effects of public infrastructure on the productive performance of 12 two‐digit Canadian manufacturing industries. A flexible cost function incorporating public capital infrastructure is estimated for each industry separately using annual time series data for 1961‐1995. The effects of public infrastructure on productivity are measured in terms of both cost‐saving (dual) and output‐augmenting (primal) measures. We also investigate how public capital influences the input demand and cost structure in each industry and calculate the rate of return to public capital. The empirical results provide strong evidence of the important role public infrastructure plays in the productivity of manufacturing industries. The public capital serves as a substitute for both private capital and labor in most industries. The rates of return to public capital are significant and vary over the years.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.173
Teacher spread0.146 · 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