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Record W3121676560

Provincial Labour Productivity Growth, 1997 to 2005

2005· article· en· W3121676560 on OpenAlexaboutno aff
Guy Gellatly

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityEconomicsTotal factor productivityPosition (finance)Relative priceDemographic economicsAgricultural economicsGeographyEconomic growthMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Productivity statistics garner much attention because they are key indicators of economic progress. This paper reports on the average growth in provincial labour productivity from 1997 to 2005. It examines how medium-term differences in productivity growth have affected the relative levels of labour productivity in different provinces. The data show that the relative position of most provinces has remained fairly stable over the 1997-to-2005 period when benchmarked against changes in the national average. The notable exception is Newfoundland and Labrador, which experienced much stronger average productivity growth during this period than other provinces. This growth substantially improved its relative labour productivity when evaluated in real terms. The paper also examines the effect that a second factor - changes in the prices received for products - has had on nominal productivity differences between provinces. The data show that the resource-rich provinces of Alberta and Newfoundland and Labrador have benefited substantially from higher relative prices.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.306
Teacher spread0.286 · 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 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
Published2005
Admission routes1
Has abstractyes

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