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Record W30239670 · doi:10.1093/eurheartj/ehy567

Литературная ситуация периода Веймарской республики как контекст творчества Э. М. Ремарка

2012· article· ru· W30239670 on OpenAlex
Матвеев Михаил Александрович

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueИзвестия Российского государственного педагогического университета им. А. И. Герцена · 2012
Typearticle
Languageru
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchBaugarten StiftungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsWeimar RepublicDictatorshipGermanPoliticsNazismDemocracyHistoriographyPolitical sciencePolitical cultureLeft-wing politicsEconomic historyHistoryState (computer science)LawPolitical economySociology

Abstract

fetched live from OpenAlex

Anti-DSG2 antibodies are a sensitive and specific biomarker for ARVC. The development of autoimmunity as a result of target-related mutations is unique. Anti-DSG2 antibodies likely explain the cardiac inflammation that is frequently identified in ARVC and may represent a new therapeutic target.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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 score0.652
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.002
Science and technology studies0.0070.004
Scholarly communication0.0050.007
Open science0.0050.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0330.025

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 head0.023
GPT teacher head0.225
Teacher spread0.202 · 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