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Record W4406146096 · doi:10.58840/v4qacf68

Legal Foundations in Business: Key Factors Influencing Modern Practices

2025· article· en· W4406146096 on OpenAlexaboutno aff
Shan DK

Bibliographic record

VenueOTS Canadian Journal · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCommercial lawLawCompetition (biology)BusinessLegal researchAffect (linguistics)Empirical legal studiesLegal professionKey (lock)Political scienceSociologyComputer science

Abstract

fetched live from OpenAlex

The primary objective of this study is to explore how various legal factors influence business law in Canada. Although the involvement of businesses in facilitating legitimate legal changes remains limited, it has provided several insightful lessons. This research employed a quantitative approach to assess the impact of specific legal elements on the dynamics of business law within the region. For this purpose, the study considered four key legal dimensions as independent variables to analyze their effects on the overarching framework of business law, which serves as the dependent variable. These dimensions included employment law, contract law, company policies and regulations, and competition law. The research methodology involved distributing 115 surveys to participants, with a return of 102 completed forms. The data from these surveys were then analyzed using multiple regression analysis. The findings revealed that employment law, contract law, and competition law significantly and positively affect business law in Canada, indicating that these areas of legal practice are integral to shaping the business environment in the region.

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)0.001
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 score0.340
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.038
GPT teacher head0.239
Teacher spread0.201 · 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

Citations7
Published2025
Admission routes1
Has abstractyes

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