Piano Music of Georgs Pelēcis : a study of selected works
Bibliographic record
Abstract
This paper discusses three works for piano by the Latvian composer Georgs Pelcis: Prelude in F major from Descendente per Tertias (2008), Marche funbre (1998), and New Year's Music (1977).Analysis of each work's form, melody, harmony, and rhythm reveal characteristic features of the composer's style such as diatonicism, major-minor modal interplay, and the use of persistent rhythmic patterns.Published interviews with the composer are used in order to establish his aesthetic principles.Where appropriate, other works (by Pelcis, and others) are referenced as possible sources of inspiration.Aspects of performance practice for each work are also discussed, providing suggestions for pianists who are interested in performing these works. AbstraitCe travail se concentre sur trois oeuvres pour piano du compositeur letton Georgs Pelcis:Prlude en fa majeur, extrait de Descendente per Tertias (2008), Marche funbre (1998), et New Year 's Music (1977).Ces trois pices sont analyses avec des paramtres musicaux tels que la forme, la mlodie, l'harmonie et le rythme, qui rvlent des traits caractristiques du style du compositeur: le diatonisme, l'interaction entre majeur et mineur, et des motifs rythmiques continuels.Les principes esthtiques du compositeur sont dfinis grce des entretiens publis avec lui.Le cas chant, d'autres oeuvres de Pelcis ou d'autres compositeurs sont rfrences comme de possibles sources d'inspiration.Chaque pice a galement fait l'objet d'une tude des diffrents aspects de l'interprtation, afin de fournir des suggestions aux pianistes souhaitant jouer ces oeuvres.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".