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Record W4408764610 · doi:10.1093/icsidreview/siae039

International Investment Treaty Compliance in Canadian Federalism: A Multidimensional Challenge

2024· article· en· W4408764610 on OpenAlexaboutno aff
Joseph Ho

Bibliographic record

VenueICSID Review - Foreign Investment Law Journal · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyCompliance (psychology)FederalismInvestment (military)International investmentLaw and economicsPolitical scienceBusinessLawEconomicsPsychologyForeign direct investmentSocial psychology

Abstract

fetched live from OpenAlex

Abstract Canada’s federal system raises challenges for its compliance with international investment law obligations. The federal executive branch holds the power to enter into treaties on behalf of Canada, but treaty implementation depends on a variety of actors within the Canadian federal system, many under provincial jurisdiction. Provinces can take measures that violate Canada’s international investment treaty obligations. The federal executive has no ability to stop them, yet Canada remains liable for such violations internationally. Often, it does not know about the measures until they materialize. Rarely is it able to anticipate all the possible measures that could breach these obligations at the time it signs treaties. International investment arbitration raises specific challenges regarding treaty compliance for States—federal and unitary—both procedurally and substantively. This article examines how Canada’s federal design adds further complexity to this challenge. It proposes a fresh perspective to designing solutions that address these challenges, with the recognition that Canadian federalism offers no foolproof responses.

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)0.030
metaresearch head score (Gemma)0.065
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 score0.238
Threshold uncertainty score0.883

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.065
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0300.019
Scholarly communication0.0260.005
Open science0.0050.006
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0070.000

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 head0.046
GPT teacher head0.285
Teacher spread0.239 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueICSID Review - Foreign Investment Law JournalSame topicInternational Arbitration and Investment LawFrench-language works237,207