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Record W2429533239 · doi:10.5539/ach.v8n2p72

The Concept of Culture from a Logical and Epistemological Perspective

2016· article· en· W2429533239 on OpenAlexvenueno aff
Fikret Osman

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsnot available
Fundersnot available
KeywordsEpistemologyScope (computer science)Perspective (graphical)Coherence (philosophical gambling strategy)Meaning (existential)Logical conjunctionSociologyClass (philosophy)Logical consequenceComputer scienceMathematicsPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The concept of culture refers to many states of meaning. Among these, the most common ones are those that are related to institutional phenomena. Institutional phenomena express different lifestyles. Each lifestyle has its specific structure. This structure is based on special rules deriving from social use and tradition. Special rules make the epistemological and logical aspects of the life different and unique. In this respect, the boundaries of knowledge in a certain lifestyle are determined by the scope of that specific lifestyle; the possibility of knowledge depends on participation in this lifestyle; the source of knowledge is the tradition on which the relevant lifestyle relies, and the criterion of knowledge is coherence. Besides, each lifestyle has its unique and special logical structure. When this logical structure is considered as a parallel logic that observes all the rules of the general logic, then the expressions and inferences that are based on it seem to be consistent and valid.

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 score0.009
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.038
Scholarly communication0.0090.014
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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
Published2016
Admission routes1
Has abstractyes

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