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Scientific and religious in the context of modern culture

2020· article· en· W3170358044 on OpenAlexaff
Yuliia Sabadash, Світлана Панченко

Bibliographic record

VenueBulletin of Mariupol State University Series Philosophy culture studies sociology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsSR Research (Canada)
Fundersnot available
KeywordsFaithCivilizationSituational ethicsSociologySpace (punctuation)Context (archaeology)EpistemologySociology of scientific knowledgePower (physics)Environmental ethicsEngineering ethicsPolitical scienceSocial scienceLawEngineeringPhilosophyHistory

Abstract

fetched live from OpenAlex

The article is devoted to the study of the peculiarities of scientific and religious worldviews, focusing on the culturological aspect. Emphasis is placed on the need to develop theories to overcome the crisis of man-made civilization. Namely, the development of certain criteria that allow to generalize and organize the accumulated experience of human attitude to nature and space, knowledge and faith, to their personal and collective responsibility, using scientific and religious worldviews not as antagonistic, but as two fundamental cultural arrays that complement one one. Knowledge or faith? It is stated that science, with all its achievements and achievements, will not protect us from social upheavals or calamities, and its guidelines and recommendations may require situational ethical or social adjustments (for example, the invention of nuclear energy by scientists and its application - atomic bombs or nuclear power plants). ). Science is a rational powerful tool for the creative improvement of human living space, but at the same time a dangerous destroyer in the hands of mankind.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.028
Scholarly communication0.0070.003
Open science0.0000.003
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 head0.035
GPT teacher head0.254
Teacher spread0.220 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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