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Record W1573013442 · doi:10.5539/jpl.v8n2p98

Third Party Suspicion of Lack of Authority on the Part of Company Agents – A Comparative Study and a Suggested Rule

2015· article· en· W1573013442 on OpenAlexvenueno aff
Bede Harris

Bibliographic record

VenueJournal of Politics and Law · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionCommon lawCorporate lawBusinessAgency (philosophy)LegislationLawOrder (exchange)Database transactionLiabilityChinaCommercial lawPolitical scienceLaw and economicsEconomicsSociologyCorporate governanceFinance

Abstract

fetched live from OpenAlex

A risk affecting 3rd parties entering into contracts with companies is whether the representative of the company has authority to enter into the transaction, and whether that person has complied with internal company procedures. In the common law world these issues are governed by the law of agency and the ‘internal management rule’ respectively. In the People’s Republic of China (PRC) applicable rules are found in the Contract Law and the Company Law. Recent decades have seen a divergence in approaches in the common law world, with the common law retained in some jurisdictions and superseded by legislation in others. This has led to differences in the law, particularly with respect to the critical issue of under what circumstances 3rd parties contracting with company representatives lose the right to assume that the representative has the authority they appear to have or, to state the issue differently, what level of knowledge or suspicion of irregularity a company should prove a 3rd party has in order to avoid liability for the acts of the company’s agent. These differences have significant implications for inter-jurisdictional contracts. This article examines the law in Singapore, Hong Kong, Australia, New Zealand and the PRC and assesses the extent to which the rules in each jurisdiction satisfactorily balance the interests of companies and third parties and serve the interest of commercial convenience. It notes that the approaches in Singapore and Hong Kong, which both retain the common law, and in the PRC, which has independently developed almost identical rules, strike the appropriate balance between the rights of companies and 3rd parties contracting with them, whereas statutory formulations in Australia and New Zealand do not. The article concludes with a model formulation of applicable rules which, if adopted, would remove uncertainty in this area.

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)0.010
metaresearch head score (Gemma)0.018
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: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0040.007
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.210
GPT teacher head0.419
Teacher spread0.209 · 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
Published2015
Admission routes1
Has abstractyes

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