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Record W2755680975 · doi:10.5430/bmr.v6n3p58

Historical and Cultural Prerequisites for the Decline of the Significance of Truth: Cujus Regio, Ejus Religio?

2017· article· en· W2755680975 on OpenAlexvenueno aff
Mykolas P. Deikus

Bibliographic record

VenueBusiness and Management Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural, Linguistic, Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDirectiveEpistemologyContext (archaeology)Meaning (existential)AnalogyPublishingSociologyPower (physics)Social scienceHistoryPhilosophyLawPolitical scienceComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Background: This article deals with the historical and cultural prerequisites for the decline of significance of truth in Western societies. In response to the formulated problem question, the ideas taught in the disciplines of humanities and social sciences are briefly discussed, the existing conditions of the power to form the directive regime of truth in the context are outlined.Objectives: The aim of the paper is to analyze historical and cultural prerequisites for the decline of the meaning of the truth in the public discourse.Method: This article is prepared using the methods of analysis and synthesis of academic literature. The analysis of academic sources and the citation follows the chronology according to the publishing year of the source. The methods of comparison and analogy are also used, the authors’ insights and generalizations are provided.Conclusion: The main conclusion is formulated that culture, as shown by the history, has some self-regulatory mechanisms that occur in different forms as a significant condition, which prevents the establishment of a unidirectional regime of the truth.

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)0.009
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.012
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.203
GPT teacher head0.425
Teacher spread0.221 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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