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Biosemiotic Approaches in Cultural Studies: General and Specific

2022· article· en· W4313393103 on OpenAlexfundno aff
Svetlana Doronina

Bibliographic record

VenueRussian Journal of Philosophical Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsSemiosisBiosemioticsEpistemologySemioticsNatural (archaeology)Sign (mathematics)Meaning (existential)Sociocultural evolutionSociologyCognitive scienceUnificationLiving systemsPsychologyComputer scienceEcologyPhilosophyBiology

Abstract

fetched live from OpenAlex

The article explicates new conceptual approaches to the study of culture, language, semantic, and communicative processes, focusing on the importance of the role of the natural environment and various living systems in cultural semiosis. The author substantiates the relevance of the main biosemiotic approaches in the study of sign systems of culture and the problems of semiosis, and also determines their specificity, main problems and prospects for use. The author explicates the biological roots of sign formation and meaning, establishes the main mechanisms for their formation, draws attention to similarities, rather than differences, in the manifestations of culture and the natural world, reveals the local contexts of the functioning of the process of semiosis, which are related to the interests of living organisms, their interactions with the environment. The article considers the possibility of using biosemiotics as an interdisciplinary basis that unites the natural and human sciences in the field of studying semiotic processes, identifies the main obstacles to the development of this direction. The perspective of the research proposed in the article allows us to talk about new prospects for the use of biosemiotic approaches in the study of culture and society, taking into account the influence of the natural environment and living systems on the process of sign formation. It also makes it possible to establish the integrative and explanatory functions of biosemiotic positions associated with the unification of the biological and sociocultural aspects of semiosis. The results of the study may be important for the development of modern cognitive sciences and non-classical epistemology, focused on the study of various forms of cognition, for the search for ecological methods and approaches to the study of sign systems of culture, for the creation of new hybrid methods and models for the study of semiotic systems, for the solution of a number of epistemological and metaphysical issues that require philosophical reflection.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.011
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.008
Science and technology studies0.0040.053
Scholarly communication0.0110.011
Open science0.0020.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.212
GPT teacher head0.388
Teacher spread0.176 · 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
Published2022
Admission routes1
Has abstractyes

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