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Record W6999533767

De muzikale homo ludens en de 'strijd tussen David en Goliath’

2019· article· nl· W6999533767 on OpenAlexaff

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2019
Typearticle
Languagenl
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSubject (documents)Context (archaeology)Identity (music)Relation (database)
DOInot available

Abstract

fetched live from OpenAlex

ik schrijf dat muziek eminent is -zowel het beluisteren als het spelen en het schrijven van muziek -en dat dit alles ook helend kan werken.1 Het is dus vanzelfsprekend belangrijk dat kinderen vroeg in contact komen met muziek.Maar het zou een enorme misvatting zijn te denken dat alleen kinderen daar belang bij hebben.2Ook voor een volwassene -jong of al wat rijper -is het nooit te laat om muziekstudies aan te vatten of te hernemen.De moeilijke vraag is hoe je mensen nu in hemelsnaam op een goede manier voor de muziek kunt prikkelen, vooral wanneer de betrokken muziek en het bijhorende muziekinstrument voor velen niet voor de hand liggen.De Gentse Stuurgroep Van Peteghem Orgel neemt de uitdaging aan, en gaat zo op zondag 8 september 2019 aan de slag met de kerkorgels van de Gentse Onze-Lieve-Vrouw-Sint-Pieterskerk en met een oud orgelwerk.De organisatoren springen hiermee op de kar van het thema van de Open Monumentendag: 'Kunst en Entertainment'.Al bij al is het hoofdzaak om de 'homo ludens', de spelende mens, in ons naar boven te halen.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.006
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.006

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 head0.011
GPT teacher head0.203
Teacher spread0.192 · 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
Published2019
Admission routes1
Has abstractyes

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