Bibliographic record
Abstract
Both of these I sing unaccompanied, and both I learned from Stephen Sedley‟s The Seeds of Love (Essex Music Limited in association with the English Folk Dance and Song Society, 1967). Sedley condenses his text of “Young Benjie” from a longer version in Scott‟s Minstrelsy of the Scottish Border (1803), collated with a fragment printed by Buchan. The tune is from Albyn‟s Anthology (1816), reprinted by Bernard Bronson. I have changed one or two words in the text („drowned‟ instead of „dang‟, „endure‟ instead of „drie‟, „ease‟ instead of „scug‟). Sedley collates his text for “The Lowlands of Holland” from two mid-19 th century broadsides, an early 19 th century chapbook and a version collected by Cecil Sharp from Robert Dibble in Somerset. The tune is from Smith‟s Scottish Minstrel. Basically, “The Lowlands of Holland” has become a separate, only shorter, song, linked to Child‟s „A‟ version of “Bonny Bee Hom” only by the inclusion in both of the lady‟s declaration:
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.063 | 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".