Echos In The North. Excerpted from The Loons Gift By Victor J Searles
Bibliographic record
Abstract
I have chosen to transcribe parts of an unpublished original contemporary piano score excerpted from the ballet "The Loon’s Gift" written by Victor John Searles, a gifted British/Canadian musician who was well known locally, but otherwise undiscovered by the international music community. "The Loon's Gift" is one of six ballets he composed in the late twentieth century. I have given the finished transcription a new title "Echos In The North" in reference to the natural habitat of the water bird Loon. This score provided me with the unique opportunity to write the very first classical guitar transcription of the original work. It also created unique challenges that tested my developing musical abilities. Choosing which sections from the original score that would sound and play well on the guitar was only the first step in a process of exploration into both the motivation and structure of the original score. Keeping the fundamental qualities of dramatic atmosphere and emotion evoked through the unique capabilities of the piano while translating them into the equally unique language of the guitar required both respect for the original work and sensitivity to musical possibilities provided by the guitar. My intent in this transcription is to manage this bilingual translation in ways that are both true to the original and authentic to the guitar.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.019 |
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".