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Record W7068905164

Ordinary beauty

2017· article· en· W7068905164 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyNatural (archaeology)RomanceMinimalism (technical communication)ViolinRomanticismPianoMonster
DOInot available

Abstract

fetched live from OpenAlex

Ordinary Beauty is a piece for piano and strings (Violin I, Violin II, Viola, Cello, Bass). The string parts may be performed by a string orchestra, or with a single player on each part. The work is approximately 23 minutes in length, and comprises of 5 movements, each named after and inspired by scenes of commonplace beauty found in the natural surroundings of Vancouver. The movements are as follows: Leaf in the Wind, Petals in the Rain, Sunlit Grove, Hawk in Flight, and Ocean Spray. Ordinary Beauty overlays Romantic structures on minimalist patterns. The minimalist figures heighten the rhythmic interest, while the Romantic melodic and harmonic principles provide the piece with structure and direction. The piece pays homage to the natural world, but also explores the boundaries between nature and technology; minimalism has ties to industrialization and machinery, while Romanticism is associated with pastoral imagery. The intentional juxtaposition and hybridization of these styles questions the boundaries and limits of both the respective styles and their real-world associations.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.265
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2650.115

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 head0.010
GPT teacher head0.202
Teacher spread0.191 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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