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Record W7100343959

Innis Redux: Dependence, Entrenchment and Lock-In in the Canadian Provinces

2014· article· en· W7100343959 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional resilience and development
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceDistribution (mathematics)CapitalismPrincipal (computer security)Balance (ability)Federalism
DOInot available

Abstract

fetched live from OpenAlex

Financial capitalism is built on a distribution of regional institutional logics thereby underlining the importance of understanding the geography of finance when considering contemporary economic activity. Employed within this research agenda, comparative corporate governance has long focused on national models of corporate governance with particular attention paid to the balance of influence between divergent path-dependence and convergent global market forces. Within this debate, the Canadian model of corporate governance has received little attention and has long been assumed to be an extension of the USA model. An analysis of the corporate geography of Canada demonstrates that the path-dependent forces of Canada’s resource-dependent economic development remain a principal determinant in contemporary corporate Canada. Continued resource-dependence in combination with a system of asymmetric federalism has lead to a situation in which provincial regulatory frameworks have effectively been locked-in by corporate interests. As corporate interests are provincially distinct due to the heterogeneous distribution of natural resources and markets across Canada this provincial lock-in leads to an informal degree of managerial entrenchment. Combined, these path-dependent consequences have rendered the Canadian model of corporate governance distinctive in its multi-jurisdictional nature.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.805

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 head0.018
GPT teacher head0.200
Teacher spread0.182 · 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 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
Published2014
Admission routes1
Has abstractyes

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