Bibliographic record
Abstract
The School of Scottish Studies came into being at the University of Edinburgh in 1951 as a research unit dedicated to ‘the study and conservation of the folk culture of Scotland’ when Professor Angus McIntosh was enabled to turn a vision which he and others had long held into reality. In that year Calum Iain Maclean was seconded from the Irish Folklore Commission to continue his collecting in Scotland, while other pioneers such as Hamish Henderson and Alan Lomax were also beginning the monumental task of systematically recording the rich oral culture of Scotland in Scots and Gaelic. The School of Scottish Studies Archives, now located in Celtic and Scottish Studies at Edinburgh University, continue as a dynamic and inspiring resource for all with an interest in Scotland and her cultural heritage, a treasure-house of sound recordings and photographs from Shetland to the Borders, from the Western Isles to Buchan, supported by an outstanding research library and other materials. The contributions brought together in this volume are based on talks given at a conference organised by the Islands Book Trust in association with the University of Edinburgh in August 2011 to mark the sixtieth anniversary of the School.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.757 | 0.695 |
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".