The Power of Pibroch: Emotion and the Classical Music of the Scottish Highland Bagpipes
Bibliographic record
Abstract
In Gaelic, the term piobaireachd (anglicised as pibroch) literally means piping, or what pipers do. However in recent times the term has come to represent the classical music of the Scottish Highland bagpipes, traditionally known as Ceòl Mór. Today pibroch still holds its literal meaning, but is widely used in bagpipe culture to refer to Ceòl Mór. Pibroch has a hazy history, but is thought to have been a musical style for the Scottish Highland bagpipes for over 500 years. Pibroch was a music historically written for and performed within contexts of celebration, mourning, victory, or warfare (amongst others). As a result individual pieces have associated stories that allow people to interpret emotion during a performance, and some of these stories come to be seen by some as highly emotional and ‘moving’. Today, significant changes have affected pibroch: where the highland clan system no longer exists; where there are now international enclaves of pibroch performance; and where romanticisation, editorialising and ‘empire’ have led to diverse interpretations of bagpiping and pibroch. As a result, the performance contexts of pibroch in contemporary society have also changed. Today pibroch is a music mostly maintained in competitive performance cultures, especially strong in Scotland, the United Kingdom of Great Britain and Northern Ireland, Canada, the United States of America, Australia, and New Zealand. This presentation will focus on the interpretation of emotion in association with pibroch performance, and the role that this process plays in maintaining pibroch cultures, particularly within Australia and New Zealand.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".