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Record W7050595073

The Hold

2014· other· en· W7050595073 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Output (Edinburgh Napier University) · 2014
Typeother
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalRomanceViolinStyle (visual arts)NarrativeBaroqueJazzAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

The Hold – a site-specific, promenade performance, staged at the National Museum of Scotland, Chambers Street, Edinburgh, the result of a collaboration between Lung Ha’s Theatre Company and National Museums Scotland. The play is by Anglo-Canadian writer, Adrian Osmond; original music composed by Kenneth Dempster (Scotland); stage direction by Maria Oller (Finland). Ten performances took place on 12–16 March 2014.The ten musical numbers are composed for a classical quintet (flute, clarinet, alto saxophone, violin and cello) running parallel to the action and setting out a related musical narrative of their own whilst reflecting key moments of the drama. Each musical number explores a different musical style ranging from Baroque to Contemporary, through Romantic and Jazz styles. The technique of composition itself often includes incorporating specific musical quotes from well-known works by Bach, Scarlatti and other established composers. This ‘collection’ of musical artefacts from the past are viewed, ‘museum-like’ through the prism of the protagonist of the play, Peter and his obsessive need to hold on to everything from the past. The disparate musical numbers begin to accumulate an energy and intensity that reflects the many contrasting episodes of his life, both painful and joyful. Towards the end of the play he achieves a state of catharsis, understanding that only by letting go of the past can he begin to move into a future that will hold some peace for him.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.178
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1780.048

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 head0.045
GPT teacher head0.262
Teacher spread0.217 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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