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Record W2185486230

Fighting the Joint-Decision Trap: Canadian Regulation in the Securities Industry

2005· article· en· W2185486230 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsYork University
Fundersnot available
KeywordsTrap (plumbing)BusinessJoint (building)FinanceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The globalization of finance has brought about important changes in the international, regional and national regulatory structure of finance. One of the effects of financial globalization has been to increase the centralization of legislative and regulatory authority over financial markets, especially in federal states. In the United States, legislative changes in the 1990s have facilitated cross-pillar and cross-states financial services sector activity. The US is moving towards a national marketplace in the finance industry under the watchful eyes of national regulators. Globalization has also led to a centralization of authority in the Australian federal state in the financial services sector through the creation of two revamped national regulators to ensure firms ’ solvency and to oversee market actors. Lütz demonstrates that the German response to the globalization of finance has been to move authority away from the Lander towards the central government (1998). Great Britain and France, although not federal states, have also rationalized their regulatory structure around the turn of the millennium. Even in Canada, where it would appear that constitutional concerns would impede centralization, Coleman argues that following the dismantling of the four pillars policy in 1987 and 1992

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)0.014
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.785
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0450.016
Scholarly communication0.0180.005
Open science0.0030.007
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0090.001

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 head0.044
GPT teacher head0.240
Teacher spread0.196 · 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 designNot applicable
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 routes2
Has abstractyes

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