Bibliographic record
Abstract
Bringing together a range of perspectives on the Gaelic language, this book covers the history of the language, its development in Scotland and Canada, its spelling, syntax and morphology, its modern vocabulary, and the study of its dialects. It also addresses sociolinguistic issues such as identity, perception, language planning and the appearance of the language in literature. Each chapter is written by an expert on their topic. The book has been written accessibly with a non-specialist audience in mind. It will have a particular value for those requiring introductions to aspects of the Gaelic language. It will also be of great interest to those who are embarking on research on Gaelic for the first time. Authors include Colm O Baoill, David Adger, Rob Dunbar, Seosamh Watson, Ken Nilsen, Ken MacKinnon and Ronald Black. This book: *Deals with a wide range of aspects of Gaelic *Places the study of the Gaelic language within the context of modern linguistic research *Encourages and supports further study *Includes chapters by a number of leading experts on Gaelic language
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.010 |
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".