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Record W2035814439 · doi:10.5539/res.v6n4p249

Archetypical Component of the Law as a Basis to Differentiate Between the Western and the Eastern Legal Tradition

2014· article· en· W2035814439 on OpenAlexvenueno aff
Olga I. Miroshnichenko

Bibliographic record

VenueReview of European Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsArchetypeUnconscious mindValue (mathematics)Basis (linear algebra)PhenomenonLawLegal cultureSociologyCollective unconsciousEpistemologyPhilosophyPsychologyPolitical sciencePsychoanalysisMathematics

Abstract

fetched live from OpenAlex

In the article the author explores the issue of the genesis of the law as a phenomenon of objective reality differentiating it according to the principle of belonging to the western and the eastern legal tradition. The methodology basis for this research is the analytical psychology conception of Carl Gustav Jung, who considered the collective unconscious to be the basis of the human culture, which has collective, universal and impersonal nature, identical for all individuals of a certain community. We suggest differentiating the western and the eastern legal traditions in accordance with the values of the archetype criterion, which is the dominating cultural idea, and which creates the basic influence on the legal regulation on the whole and, in particular, determines the role of the law in public life and estimation of the law as a value.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.020
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.323
Teacher spread0.271 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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