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Record W4404775028 · doi:10.21267/aquilo.2020.9.9.022

О СОХРАНЕНИИ ЧЕЛОВЕКА И ЧЕЛОВЕЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ НАСТУПАЮЩЕГО ВАРВАРСТВА: ЛОВУШКИ НА ЭТОМ ПУТИ

2020· article· ru· W4404775028 on OpenAlexfundno aff
БУДАНОВ А.В.

Bibliographic record

VenueЦивилизация и варварство · 2020
Typearticle
Languageru
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsnot available
FundersLatvijas UniversitateDanmarks GrundforskningsfondSvenska Forskningsrådet FormasNational Research FoundationUniversiteit LeidenUniversity of CambridgeUniversity of CincinnatiMcGill UniversityPrinceton UniversityUniversity of OxfordHarvard UniversityDumbarton Oaks Research Library and CollectionAmerican Philological Association
KeywordsComputer science

Abstract

fetched live from OpenAlex

Главная тема статьи — личность в современных услови-ях нарастающего варварства. Главная идея — сохранение человека и человечности в этих условиях. Освещаются проблемы, стоящие перед человеком, не желающим подда-ваться деструктивным варваризующим влияниям. Показаны некоторые практическеие пути сохранения человека и че-ловечности в условиях наступающего варварства и охарак-теризованы ловушки на этом пути. The main topic of the article is the personality in mod-ern conditions of increasing barbarity. The main idea is the preservation of man and humanity under these conditions. The problems facing a person who does not want to suc-cumb to destructive barbarizing influences are highlighted. Shows some of practical ways to keep man and humanity in terms of the attacking barbarity, and the traps on this way are described.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.006
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0630.005

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 head0.079
GPT teacher head0.383
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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