Bibliographic record
Abstract
Lured by the Horizon (2005) for orchestra is in five movements or “snapshots” of the Pacific Northwest. It was premiered by The University of Michigan Symphony Orchestra, conducted by Nikolas Caoile on March 14, 2006 at Hill Auditorium, Ann Arbor, Michigan. I. Growth examines the adaptability, hopeful nature, and adventurous spirit of the people who lived in the region during the late nineteenth- and early twentieth-centuries. Since the 1840s and into the present, people have moved west with the hope of building a better life. This led to boomtowns throughout the region during the gold rush period (1848-56) and logging camps during the Depression-era (1929-41). II. Rust is based on a set of photographs taken by the composer in 2004 that examine the contrast between the rich natural beauty of the region with evidence of the dire economic depression that follows the collapse of an exploitative industry. III. Currents considers the Columbia River Basin that extends from Oregon to Canada, and from the Pacific Ocean to Idaho; it provides food, commerce, hydroelectric power, and recreational entertainment for the region. The river’s magnificent beauty and surprisingly treacherous undercurrents inspire two musical motives which guide the listener through the movement. IV. Cut focuses on the dual nature of the logging industry as both an employer of thousands of people and the catalyst for severe environmental changes in the region. This drama is underscored by juxtaposing a dissonant harmonic language with stark woodwind interjections and string pizzicati. V. Return is inspired by my emotional reactions to photographs that I took in 2004 of abandoned barns being re-absorbed by nature. Framed in a tonal harmonic musical language, I combine musical materials from the previous four movements to evoke how the end of one entity can foster and enrich that which follows.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.077 | 0.016 |
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 source (direct Gemma or distilled Codex), 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".