MétaCan
Menu
Back to cohort
Record W7047948687

The Indomitable Basque: an orchestral work in three movements inspired by the Basque Whalers of Labrador of the Sixteenth Century

2024· article· en· W7047948687 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMelodyHarmony (Music)Tone (literature)MusicalVariety (cybernetics)PoetrySoundscapeGuitarFlute
DOInot available

Abstract

fetched live from OpenAlex

The Indomitable Basque is an orchestral tone poem depicting the early activities of the Basque whalers who came to the coast of Labrador during the sixteenth century. The piece specifically focuses on the interactions of an individual, Juan Martínez de Larrume, who overwintered in Red Bay, Labrador, with his crew between 1576 and 1577. The music creates soundscapes which portrays the men sailing, constructing their semi-permanent camp, hunting, and living through a Labrador winter. The piece also features three traditional Basque instruments (the txistu, the alboka, and the txalaparta). Throughout the composition, unique melodies and harmonies were created by incorporating the two main “characters” of the story and representing them as musical motifs: the whaler Larrume; and the Whale the men came to hunt.\nThe work utilizes both traditional and non-traditional elements in its construction. There are moments throughout with melodies being accompanied by harmonies in a strict time signature, and there are times where the music is free and improvisatory, where it does not use a “traditional concept” of meter or cohesion. The music itself is programmatic, where it tells a story in a linear manner: the men leave the Basque Country to sail to Labrador to work, they arrive and set up camp, they actively hunt a whale, and are unfortunately forced to stay and survive through the frigid winter. Throughout the piece, instruments perform a variety of extended techniques that lend itself to the programmatic aspects of the story: whale-calls, birdsongs, blowing winds, creaking floors, or an active construction site.

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)0.001
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: none
Teacher disagreement score0.982
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.033
GPT teacher head0.259
Teacher spread0.226 · 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

Explore more

Same venueScholarship@Western (Western University)Same topicAstrophysics and Cosmic PhenomenaFrench-language works237,207