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Record W290055805

Musik, Kontext, Wissenschaft : interdisziplinäre Forschung zu Musik = Musiques, contextes, savoirs : perspectives interdisciplinaires sur la musique

2012· book· fr· W290055805 on OpenAlexaboutno aff
Talia Bachir-Loopuyt, Sara Iglesias, Anna Langenbruch, Gesa zur Nieden

Bibliographic record

VenuePeter Lang eBooks · 2012
Typebook
Languagefr
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities
DOInot available

Abstract

fetched live from OpenAlex

In den letzten Jahren hat der interdisziplinare aber auch internationale Austausch zum Forschungsobjekt Musik neue methodische Herangehensweisen und Untersuchungsgegenstande eroeffnet. Der Band versammelt Beitrage aus dem deutschen und franzoesischen Forschungskontext mit einem Themenspektrum von Opernparodien des 18. Jahrhunderts uber die Musik in kanadischen Gefangenenlagern bis hin zur vusic junger Gehoerloser. Entlang der zentralen Begriffe Identitat, Historiographie, Erfahrung und Praxis zeugen sie von den gegenwartigen Perspektiven auf Musik in all ihren technischen, kulturellen und soziohistorischen Facetten. Au cours des dernieres annees, les echanges interdisciplinaires mais aussi internationaux autour de l'objet musique ont fait emerger de nouvelles perspectives methodologiques et de nouveaux terrains d'etude. Cet ouvrage rassemble les contributions de chercheurs d'Allemagne et de France travaillant sur un large spectre de themes, allant des parodies d'opera du 18e siede aux pratiques musicales de prisonniers de guerre au Canada, en passant par la vusic de jeunes sourds. A partir des concepts centraux d'identite, d'historiographie, d'experience et d'action musicienne, ces travaux actuels rendent compte des diverses facettes du fait musical, envisage dans ses dimensions techniques, culturelles et socio-historiques.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.031
GPT teacher head0.311
Teacher spread0.280 · 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 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
Published2012
Admission routes1
Has abstractyes

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