MétaCan
Menu
Back to cohort
Record W4396928990 · doi:10.29173/spectrum245

Inspiring Repertoire for Enrichment

2024· article· en· W4396928990 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueSpectrum · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRepertoireComputational biologyBiologyArtLiterature

Abstract

fetched live from OpenAlex

One of the enduring challenges for piano teachers is selecting appropriate repertoire to enrich a student’s piano education, which has foundations in leveled books. A response to the challenge is to select a collection from a composer’s works to immerse the student in the style and technical demands of that specific composer. In this study, Edvard Grieg’s Lyric Pieces Opus 12 were investigated for their effectiveness as pedagogical tools for intermediate piano students. The analysis included: (1) contextualizing the collectionhistorically through related literature; (2) identifying primary technical elements to determine an effective pedagogical approach for introducing the specific elements to students; and (3) identifying stylistic features and Norwegian cultural connections to provide meaningful insights for students’ interpretation of the pieces and lead to a set of guiding questions to pose to students. Historically, Grieg’s Lyric Pieces capture the Norwegian spirit by incorporating folkloric elements into classical compositions, and his intention in the compositions was to supply his music school with short, digestible instructional material. The Lyric Pieces are accessible piano pieces that allow students to discover complex technical elements such as melodic nature, varied approaches to the keys (touch), complex rhythms, and ornamentation. They also provide opportunities for students to grow their understanding of stylistic features through the titles and descriptive phrases, as well as connections to Norwegian culture, which allow them to develop their interpretation of the pieces. This study contributes to the professional learning of studio piano teachers and the application of Grieg’s Lyric Pieces in teaching intermediate students.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.043
GPT teacher head0.414
Teacher spread0.371 · 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