Bibliographic record
Abstract
Combines historical rigour with an analysis of dramatic contexts, themes and forms The 17 contributors explore the longstanding and vibrant Scottish dramatic tradition and the important developments in Scottish dramatic writing and theatre, with particular attention to the last 100 years. The first part of the volume covers Scottish drama from the earliest records to the late twentieth-century literary revival, as well as translation in Scottish theatre and non-theatrical drama. The second part focuses on the work of influential Scottish playwrights, from J. M. Barrie and James Bridie to Ena Lamont Stewart, Liz Lochhead and Edwin Morgan and right up to contemporary playwrights Anthony Neilson, Gregory Burke, Henry Adams and Douglas Maxwell. Key Features Provides a thorough overview of Scottish theatre from the earliest days to the present Deals with play texts as well as with the key contexts and themes of drama and theatre over the years Provides insights into the work of leading Scottish playwrights, including the new generations since the 1970s
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Scholarly companion to Scottish drama; literary and theatre studies.
This book concerns Scottish drama and theatre, not research itself.
Literary and theatre studies companion to Scottish drama; arts and humanities domain content.
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 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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".