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THE INFLUENCE OF THE CONCEPT OF "MEDIA" ON THE SOCIO-ECONOMIC AND POLITICAL SPHERES OF SOCIETY WITHIN THE FRAMEWORK OF THE TORONTO SCHOOL OF COMMUNICATION

2024· article· en· W4403248442 on OpenAlexaboutno aff
И.Н. Макаров, Olga A. Moiseeva, Georgy O. Berkaev, Elena A. Kumalagova, Alexandra I. Volodina

Bibliographic record

VenueEKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsSociologySPHERESEconomic geographyPolitical scienceSocial scienceMedia studiesGeographyEngineering

Abstract

fetched live from OpenAlex

The article deals with the theoretical issues of the theory of communication. Information exchange between different systems is an object of communication. The subject field of the theory of communication can always be expanded with the emergence of new knowledge; there is an idea of a holistic, comprehensive development of the object under study with the involvement of data from different sciences. Synthesis of social, natural science and technical knowledge of a communicative nature in the context of the research of the Toronto School.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.995
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0050.024
Scholarly communication0.0110.007
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.279
Teacher spread0.267 · 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.

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
Published2024
Admission routes1
Has abstractyes

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