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Record W1965460442 · doi:10.1080/09654310124479

Globalization and Economic Restructuring in Ontario: From Industrial Heartland to Learning Region?

2001· article· en· W1965460442 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Planning Studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRestructuringGlobalizationSuccessor cardinalContext (archaeology)Argument (complex analysis)Government (linguistics)Economic restructuringEconomic integrationEconomyPolitical scienceEconomic systemEconomicsEconomic geographyInternational tradeGeographyMarket economy

Abstract

fetched live from OpenAlex

Recent contributions suggest that the current period is characterized by a paradoxical consequence of globalization in which the ever greater integration of national and regional economies into the global one accentuates, rather than minimizes, the significance of the local context for innovative activities. This paper sketches out the implications of this argument by drawing on the case of Ontario, Canada's largest province and industrial heartland. The restructuring triggered by the broader processes of globalization was accentuated after 1990 by Ontario's deeper integration into the North American economy following the signing of the Free Trade Agreement with the US and its successor, the North American Free Trade Agreement. These changes forced a number of critical responses on both firms and the government of the province, as they face the challenge of becoming more innovative and adopting the characteristics of learning regions. This experience is highly relevant to regions elsewhere that are attempting to shift their traditional industrial base to a more knowledge-intensive economy.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.130
GPT teacher head0.318
Teacher spread0.188 · 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