The lark ascending the music of the British landscape
Bibliographic record
Abstract
The Lark Ascending, Ralph Vaughan Williams' 'pastoral romance for orchestra' was premiered on 14 June, 1921. Over the course of the twentieth century this piece of music, perhaps more than any other, worked its way into the collective consciousness to seemingly define a mythical concept of the English countryside: babbling brooks, skylarks, hayricks. But the birth and legacy of the composition are much more complex than this simplified pastoral vision suggests. The landscape we celebrate as unsullied and ripe with mystique is a living, working, and occasionally rancorous environment - not an unaffected idyll - that forged a nation's musical personality, and its dissenting traditions. On a chronological journey that takes him from postwar poets and artists to the late twentieth century and the free party scene which emerged from acid house and travelling communities, Richard King explores how Britain's history and identity has been shaped by the mysterious relationship between music and nature. From the far west of Wales to the Thames Estuary and the Suffolk shoreline, taking in Brian Eno, Kate Bush, Boards of Canada, Dylan Thomas, Gavin Bryars, Greenham Common and The Kinder Scout Mass Trespass, The Lark Ascending listens to the land and the music that emerged from it, to chart a new and surprising course through a familiar landscape
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".