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Enregistrement W6586231

Psychology of Music and Aging Comes of Age: Psychogeromusicology

2002· article· en· W6586231 sur OpenAlexaboutno aff
Annabel J. Cohen

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeuroscience and Music Perception
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAmateurSingingPsychologyMelodyMusic educationPianoMusicalMusic psychologyMusicologyConcertoLifelong learningMusic historyVisual artsHistoryPedagogyArt historyArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The escalation of research in both the psychology of music and the psychology of aging has led to a natural convergence on a new shared domain, that of psychogeromusicology. The present Volume of Psychomusicology represents different views of this domain: melodic memory, rhythmic processes, neurophysiology, quality of life, strong musical experiences, adult development, music training, and ergonomics. An international perspective is represented by authors from France, Germany, Sweden, Japan, Canada, and the United States. Taken together the articles provide a foundation for further basic and applied research in this new area. The Volume also invites readers to consider the options and opportunities for lifelong involvement in music. Toshio Iritani, an Emeritus Professor of Psychology in Japan, began to study piano after the age of 60 years. Within five years, he performed Beethoven Sonatas, and Chopin Nocturnes and Etudes. The present author and guest editor of this Volume of Psychomusicology had a similar experience about a decade earlier in her life, when she began the study of singing. Within five years, she mastered some of the most challenging repertoire for the soprano voice and earned a credential in voice performance from the Royal Conservatory of Music. These and countless other examples - from the legendary performances of octogenarians like Pablo Casals or Arthur Rubinstein to the nonogenarian amateur choristers in Germany and elsewhere-serve to illustrate lifelong learning and enjoyment from music. Within psychomusicology, developmental psychology has directed much attention to the potential for music in infancy and early childhood (Deliege & Sloboda, 1996;Hargreaves, 1996). By comparison, the older end of the lifespan spectrum has been overlooked. The present Volume addresses this neglect. Interest in both the psychology of music and the psychology of aging has escalated independently in the last two decades. One common factor affecting the growth in both areas is the Cognitive Revolution. Its beginning is sometimes marked with the publication of the first book entitled Cognitive Psychology (Neisser, 1967), however, the cognitive Zeitgeist was motivated directly by technological developments of the 1950s. Newly invented computers had promised much for artificial intelligence, the ability for a machine to carry out human tasks like speech recognition and translation. These early promises were met by disappointment when computers failed to easily carry out these tasks. As psycholinguist George Miller (1974) pointed out, better theories of cognitive organization were needed as a basis for the design of computers that could take on these human tasks. The earliest history of experimental psychology had of course directed attention to cognitive issues concerning thought and mental imagery (including music). These pioneers of experimental psychology, however, did not have the necessary scientific methodologies needed for successfully obtaining and quantifying data. The Behaviorist period from 1920 to 1970 arose as a reaction to this failure. The Behaviorists ultimately developed the scientific rigor that could later serve the renewed focus on mind of the Cognitive Revolution. The renewed legitimacy of mind by the Cognitive Revolution opened the doors, admittedly slowly at first, to psychomusicology and also to information processing, memory, and thought, which are central to many studies of the psychology of aging. Technological developments in the audio industry also facilitated the study of music perception and cognition. The same technology that made it possible to control musical stimuli in the laboratory also increased the accessibility to music of the average individual, through home stereo systems, sound systems in vehicles, wearable devices (walkmen), and portable boom boxes. Amplification created instant amphitheatres on any summer hill or winter stadium. The generation most affected by developments in audio technology was initially a youth culture. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,008
Communication savante0,0060,006
Science ouverte0,0010,002
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,126
Tête enseignante GPT0,343
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2002
Routes d'admission1
Résumé présentoui

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