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«Патриотические европейцы против исламизацииЕвропы» (ПЕГИДА): британская версия

2020· article· ru· W4407753358 on OpenAlexaboutno aff
В.Ю. Щербаков

Bibliographic record

Venuenot available
Typearticle
Languageru
FieldSocial Sciences
TopicGerman legal, social, and political studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Появившееся в Дрездене движение ПЕГИДА быстро распространилось на всю Федеративную республику, став значимым фактором политической жизни страны. К основным причинам появления ПЕГИДА следует отнести специфическую историю территории бывшей ГДР и социально-экономическую ситуацию в данном регионе. Успех антиисламского движения заставил обратить на себя внимание правых радикалов всех оттенков практически во всех странах Западной Европы, а также в США и Канаде. Не осталась в стороне и Великобритания. Создателем ПЕГИДА в Соединённом королевстве стал лидер малоизвестной организации «Английская лига обороны» Томми Робинсон. Однако, несмотря на миграционный кризис, охвативший всю Европу, британский филиал ПЕГИДА так и не смог стать по-настоящему влиятельным в стране и привлечь на свою сторону значительную часть населения, опираясь преимущественно на футбольных хулиганов. The PEGIDA movement from Dresden quickly spread throughout the Federative Republic and became a significant factor in the political life of the country. The main reasons for the appearance of PEGIDA are the specific history of the territory of the former GDR and the socio-economic situation in this region. The success of the anti-Islamic movement has attracted the attention of right-wing radicals in almost all countries of Western Europe, the United States and Canada. Great Britain also did not stand aside. The founder of PEGIDA in the United Kingdom was the leader of the little-known organization “English Defense League” Tommy Robinson. However, despite the migration crisis that swept across Europe, the British branch of PEGIDA was never able to become truly influential in the country and could not attract a significant part of the population. This organization in Britain rely mainly on football hooligans.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.011
Scholarly communication0.0130.008
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0240.008

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 head0.066
GPT teacher head0.327
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreOther

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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Published2020
Admission routes1
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