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Record W4384203771 · doi:10.1515/9780773569768

Market Rules

2002· book· en· W4384203771 on OpenAlexaboutno aff
Douglas M. Brown

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2002
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Brown argues that internal barriers to trade and competition in these countries were significant obstacles to competition in the global economy and shows that the old market rules were rooted in longstanding political and regional compromises. He describes the process of detailed and difficult intergovernmental collaboration required for the EU, and now Canada and Australia, to produce new market rules. The resulting reforms created new regimes that provide deeper and broader national economic integration in Canada and Australia than in the EU. The new rules entrench neo-liberal values, retaining some room for diversity and flexibility for equity goals. Built on a careful analysis of the differences and similarities in political economy, constitutional design, federal culture, and history of intergovernmental relations in Canada and Australia, Market Rules provides fresh evidence that federal states can be strong and autonomous in the global society, while underscoring the conditions for effective collaboration that make this sustainable. Rich in detail, broad in scope, Market Rules makes a significant contribution to knowledge about federalism and economic policy-making in the era of globalization.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.006
Scholarly communication0.0100.007
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0620.021

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 head0.178
Teacher spread0.158 · 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
GenreOther

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

Citations11
Published2002
Admission routes1
Has abstractyes

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