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Record W2310845875

The Power of Pibroch: Emotion and the Classical Music of the Scottish Highland Bagpipes

2011· article· en· W2310845875 on OpenAlexaboutno aff
Daniel Milosavljevic

Bibliographic record

VenueUniversity of Canterbury Research Repository (University of Canterbury) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)PsychologyCommunicationHistory
DOInot available

Abstract

fetched live from OpenAlex

In Gaelic, the term piobaireachd (anglicised as pibroch) literally
\nmeans piping, or what pipers do. However in recent
\ntimes the term has come to represent the classical music
\nof the Scottish Highland bagpipes, traditionally known
\nas Ceòl Mór. Today pibroch still holds its literal meaning,
\nbut is widely used in bagpipe culture to refer to Ceòl Mór.
\nPibroch has a hazy history, but is thought to have been a
\nmusical style for the Scottish Highland bagpipes for over
\n500 years. Pibroch was a music historically written for and
\nperformed within contexts of celebration, mourning, victory,
\nor warfare (amongst others). As a result individual pieces
\nhave associated stories that allow people to interpret emotion
\nduring a performance, and some of these stories come
\nto be seen by some as highly emotional and ‘moving’. Today,
\nsignificant changes have affected pibroch: where the
\nhighland clan system no longer exists; where there are now
\ninternational enclaves of pibroch performance; and where
\nromanticisation, editorialising and ‘empire’ have led to diverse
\ninterpretations of bagpiping and pibroch. As a result,
\nthe performance contexts of pibroch in contemporary society
\nhave also changed. Today pibroch is a music mostly
\nmaintained in competitive performance cultures, especially
\nstrong in Scotland, the United Kingdom of Great Britain and
\nNorthern Ireland, Canada, the United States of America,
\nAustralia, and New Zealand. This presentation will focus on
\nthe interpretation of emotion in association with pibroch performance,
\nand the role that this process plays in maintaining
\npibroch cultures, particularly within Australia and New
\nZealand.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.009
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.192
Teacher spread0.152 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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