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Record W2995845789 · doi:10.17516/2311-3499-075

Language – mind – culture – human – nationality: “closing the circle ...” (to the question of linguoecology)

2019· article· en· W2995845789 on OpenAlexfundno aff
Viktoriya Viktorovna Krasnykh

Bibliographic record

VenueÈkologiâ âzyka i kommunikativnaâ praktika · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
FundersConnaught Fund
KeywordsFunctional illiteracyAssertionNationalityComprehensionValue (mathematics)LinguisticsSociologyCognitionPsychologyHistoryPhilosophyComputer science

Abstract

fetched live from OpenAlex

The author argues in favor of the assertion that a people (ethnos, nation) is alive as long as its language and culture live. The author introduces the concept of functional-cultural illiteracy as the inability to encode and decode cultural-meaningful meanings behind the signs of the language, and the unwillingness and inability to understand, and even more so, to create texts of different orientations, different genres and different sizes. The author considers some examples of authentic texts (primarily advertising), which can contribute to the pidginization of the Russian language and thereby pose a certain danger, since the language is associated with thinking, cognition, comprehension, and conscious. The author emphasizes the value of ideas and works by A.P. Skovorodnikov to preserve the Russian language and Russian culture, our national-linguo-cultural community and our country

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.397
Teacher spread0.365 · 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.

Study designQualitative
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
Published2019
Admission routes1
Has abstractyes

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