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Record W428295351

Propitivanje ostvarenja cilja nastave glazbe u kontekstu vremena glazbene hiperprodukcije

2013· article· hr· W428295351 on OpenAlexfundno aff
Sabina Vidulin

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2013
Typearticle
Languagehr
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
FundersMemorial University of Newfoundland
KeywordsTheologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Razmatranje uloge i vrijednosti umjetnosti te znaËaja opÊe i glazbene kulture u danaπnjem druπtvu neposredno uvjetuje propitivanje cilja i zadaÊa nastave glazbe.Iako postoje smjernice i prijedlozi za poboljπanje nastavne prakse, nova koncepcija nastave glazbe otvorenoga tipa, 1 nastavni plan i program te kurikulum koji idu ususret potrebama novih generacija, i dalje se teæi pronalaæenju optimalnog naËina pribliæavanja glazbenih fenomena i umjetniËke glazbe mladima.Kultura, umjetnost i umjetniËka glazba rijetko su predmet interesa i refleksije uËenika i mladih.Glazba kojoj su naklonjeni mahom su svjetske trenutne glazbene atrakcije, izvoaËi i/ili stilovi.Lipsman 2 smatra da je glazbena hiperprodukcija rezultat bavljenja glazbom na povrπan, gotovo mehaniËki naËin, u vremenu u kojem je dovoljno zgotoviti proizvod, opremiti ga na naËin koji jamËi brzu i dobru zaradu te plasirati bez poπtivanja kriterija kvalitete.Glazba se danas ponajviπe stvara za masovnu publiku, nezainteresiranu za kritiËku analizu i vrednovanje onoga πto im se nudi.Mediji -radio, TV, novine, portali -podilaze publici (auditoriju) radi veÊe sluπanosti (gledanosti), a glazba istinske estetske i umjetniËke kvalitete ne pronalazi puta do sluπatelja.Upravo stoga nastava glazbe obrazovnim sadræajima uz primjenu suvremene nastavne tehnologije 3 treba omoguÊiti da estetski vrijedna glazba dopre do uËenikâ kako bi oni, sluπajuÊi je, upoznali glazbenike koji su svojim snaænim stvaralaËkim impulsima zaduæili ËovjeËanstvo, potom shvatili vrijednost pojedinog djela i naposljetku mogli pojmiti πto je to πto ga Ëini vjeËnim klasikom.Kultura se Ëesto propituje s razliËitih aspekata, pozicija i filozofskih perspektiva, interdisciplinarno i integrativno, πto rezultira (novim) pojmovnim nimljiva i inovativna, razred opremljen primjerenim nastavnim sredstvima i pomagalima, a uËitelji bi, s ciljem po-buivanja interesa za umjetniËku glazbu kod uËenika, trebali planirati samostalne i istraæivaËke zadatke te ËeπÊe odlaske u kazaliπte i na koncerte umjetniËke glazbe.To Êe rezultirati ne samo pasivnom pri-sutnoπÊu, veÊ aktivnim upoznavanjem glazbene izvornosti djela te njegove filozofsko-socioloπke dimenzije.KljuËne rijeËi: glazba, kultura, nastava, umjetnost, sluπanje glazbe Key words: music, culture, teaching, art, listening to music 1 Otvoreni koncepcijski model nastave glazbene kulture specifiËan je po tome πto uËitelji, izuzev zadane i dominantne aktivnosti sluπanja i upoznavanja glazbenih djela, sami odabiru koju Êe drugu aktivnost, u skladu s interesima i æeljama uËenika te vlastitim afinitetima, realizirati.2 Andrew LIPSMAN: Social Networking Goes Global, 2007.

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)0.006
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0130.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0750.010

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 head0.012
GPT teacher head0.141
Teacher spread0.128 · 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 designObservational
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".

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Citations7
Published2013
Admission routes1
Has abstractno

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