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Record W2255826378

Knowledge-Based Economy and Canada

2003· article· en· W2255826378 on OpenAlexaboutno aff
Vijay Kumar Kaul

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Knowledge economyRecessionLiberalizationEconomyGovernment (linguistics)BusinessEconomicsInternational tradeMarket economyMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

A look at the Canadian economy shows that following the 1990/91 recession, its performance has been comparatively dismal. Annual growth averaged only 2.3% between 1991 and 1999. The country faced enormous challenges and changing opportunities emanating from the new global competitive environment. Its economy experienced profound structural changes related to such domestic and international developments as the FTA, NAFTA, Europe 1992 and other trade liberalization initiative and an increased number of strategic alliances. However, the Canadian economy closed the 1990s (i.e.1999) by expanding by 4.2 per cent for the year as a whole. How has Canadian economy improved its performance? How is its performance in Emerging Knowledge Based System in comparison to other advanced countries? What type of policies has it followed during the last few years to make it more innovative and competitive? The paper aims at examining these issues. The paper is divided into four sections. Section one discusses the emergence of knowledge-based economy. Section two outlines the Canadian economy, its structure and performance during the last one decade. Section three analyses the Government policies relating to Innovation and Science & Technology. Section four gives conclusion.

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 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: none
Teacher disagreement score0.840
Threshold uncertainty score0.968

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 studies0.0000.000
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 head0.011
GPT teacher head0.261
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2003
Admission routes1
Has abstractyes

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