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Record W7160671164

Shuyo Nella

2024· dissertation· en· W7160671164 on OpenAlexaff
Kayra Caner

Bibliographic record

VenueOpen MIND · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicMusic Education and Analysis
Canadian institutionsCalgary Laboratory Services
Fundersnot available
KeywordsSymphonyArchetypeTurkishCharacter (mathematics)Thematic mapNarrativeDuration (music)
DOInot available

Abstract

fetched live from OpenAlex

Shuyo Nella is a five-movement symphony with a duration of sixteen minutes and instrumentation of double winds, four horns, two trumpets, three trombones, tuba, timpani, percussion, harp, and strings. It is inspired by the archetypes of family relationships as well as by aspects of my Turkish heritage. The archetypes are presented as the thematic material of this character piece. Research on various twentieth-century approaches to a symphonic composition that includes programmatic/character elements and cultural synthesis influenced the musical ideas. The thesis comprises an essay that explains the research, thematic materials, harmony, rhythm, form, texture, and timbre, as well as a bibliography and a complete score.

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)0.001
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 score0.069
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0690.013

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 head0.073
GPT teacher head0.457
Teacher spread0.384 · 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
Published2024
Admission routes1
Has abstractyes

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