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Record W7026834023

Analysis of the Constructive Functions of Notated and Acoustic Silences in Béla Bartók's Fifth String Quartet, First Movement, Allegro

2018· article· en· W7026834023 on OpenAlexfundno aff

Bibliographic record

VenueLirias (KU Leuven) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
FundersUniversity at AlbanyUniversity at BuffaloInternational Institute of Information Technology, HyderabadTaideyliopistoKauno Technologijos UniversitetasWestern Sydney UniversityUniversidade Federal do ParanáIllinois Wesleyan UniversityHumboldt-Universität zu BerlinUniversitetet i OsloBen-Gurion University of the NegevBucknell UniversityKU LeuvenUniversity of PittsburghTel Aviv UniversityKungliga Tekniska HögskolanUniversidad Nacional de La PlataMacEwan UniversityUniversität WienKeele UniversityInstitute of Psychology, Chinese Academy of SciencesUniversidad Complutense de MadridMurdoch UniversityChinese Academy of SciencesUniversidad Autónoma de MadridNanyang Technological UniversityNorthwestern UniversityDurham UniversityStonehill CollegeMcMaster UniversityKarl-Franzens-Universität GrazUniversità Campus Bio-Medico di RomaMcGill UniversityUniversity of LeedsKanagawa UniversityUniversity of StrathclydeUniversità degli Studi di MessinaUniversiteit van AmsterdamGeorgia State UniversityUniversity of WashingtonAalto-YliopistoJyväskylän YliopistoAarhus UniversitetUniversidad de ValladolidUniversity of ConnecticutUniversity of Southern CaliforniaKeio UniversityUniversité de LyonOhio State UniversityTexas Tech UniversityUniversity of TorontoUniversity of GlasgowState University of New York
KeywordsConstructiveString (physics)Calculus (dental)VibratoAlgebra over a field
DOInot available

Abstract

fetched live from OpenAlex

status: Published

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.198
Teacher spread0.182 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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