MétaCan
Menu
Back to cohort
Record W7132995984

First Winter

2017· dissertation· W7132995984 on OpenAlexaboutno aff
DINUK WIJERATNE

Bibliographic record

VenueTSpace · 2017
Typedissertation
Language
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)FeelingChoirFluteSet (abstract data type)Adversarial systemKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

Thesis (orchestral composition) Duration: 9 minutes Instrumentation: 2 flutes (2nd doubling piccolo), 2 oboes, 2 clarinets, 2 bassoons, 4 horns, 2 trumpets, 3 trombones, tuba, timpani, 2 percussion, harp, strings ABSTRACT The concept of this single-movement, 9-minute, tone poem is essentially the dichotomy of ‘nature’ and ‘humankind’, placed in the context of the age when the very first humans set foot on an untouched Canadian landscape, more than 12,000 years ago. The music does not seek to be programmatic, culturally or historically-specific in any way. Nor is the dichotomy of nature and humankind presented as an adversarial one. Rather, the music aims to explore the various emotions that any human being might feel upon first discovering a new landscape, and eventually when having to mesh with this landscape. These might well include feelings of mystery, awe, trepidation, and excitement, to name a few. There are three main sections to this piece. The first (until b.41) primarily aims to evoke an untouched natural, wintery landscape. The proto-melody, that begins at b.41 and develops quickly, signals the first motivations of humankind. The 4-chord chorale at b.141 heralds the final section, which signals the first dawn of spring, and a general sense of optimism. There are a select few deliberate examples of tone-painting: bars 29-32 depict a tree branch collapsing under the weight of accumulating snow, and bars 102-121 are inspired by birds in flight. At the very end, there remains the dichotomy of nature’s constancy and humankind’s footprint. This particular piece marks a stark departure from my usual compositional style, which is typically explicit in its explorations of the boundaries between cultures, and between composition and improvisation. The purpose of this thesis has been to set aside my usual preoccupations with rhythm and melody to explore instead a more textural world of shifting colours and emotions, where rhythmic material is organic as opposed to constructed, and melodic material is - at most - fragmented.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.8370.733

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 head0.039
GPT teacher head0.336
Teacher spread0.297 · 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.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueTSpaceSame topicPoetry Analysis and CriticismFrench-language works237,207