Leading Adult Singers toward a Lifetime of Fulfilling Choral Participation
Notice bibliographique
Résumé
As the fastest growing age group in North America has surpassed the 85 and older cohort, it is not surprising that the average adult choir is maturing. Not only is choral singing an aesthetic, artistic expression, it serves as an important social connection for singers. Choristers frequently describe “the choir as family” and that their closest friends are people they first met in a choir. People who sing in choirs generally want to continue their choral involvement for as long as possible. With the advancing age of so many singers, choristers and conductors are presented with new challenges associated with age-related changes that tend to take place in voices and bodies. It is to the advantage of conductors of adult choirs to understand these changes and to have a working knowledge of how to help their choristers sing as well as possible for as long as possible. At the same time that singers are dealing with newly emerging vocal difficulties, frequently leading them to consider discontinuing choral participation altogether because they feel that they no longer sing well enough to contribute meaningfully to the ensemble, the social and aesthetic aspects of choral ensemble membership become increasingly significant. The voice follows the same Principles of Exercise Physiology that dictate the function of the rest of the body. Through an understanding of these principles, coupled with a working knowledge of the types of physical and vocal changes that aging singers tend to experience, leaders of adult choirs can use vocal and rehearsal techniques to delay, minimize, and even reverse the negative aspects of vocal aging. In this way, a knowledgeable choral conductor is in a position to help keep aging adults singing well and at a level that is fulfilling to them as singers while also making a meaningful musical contribution to the ensemble. This workshop session is divided into three parts. Part One establishes a context for adult choral participation as it identifies some of the benefits that individual adult singers report that they gain from their choral involvement. This information has been gathered by survey over a period of five years and is based upon input from approximately eight hundred adult singers, aged 29 to 88, from across Canada and the United States. Research from the medical field that intersects with the study of the aging singing voice is also considered. Part Two identifies types of physical and vocal changes that adult singers tend to experience and relates these to musical considerations such as rehearsal techniques and repertoire characteristics. In Part Three, participants will have the opportunity to experience first-hand vocal conditioning exercises designed not only to help adults deal with vocal changes but to improve vocal ability regardless of age. The specific function of each exercise will be explained as it applies to the aging voice, as participants work through a comprehensive vocal conditioning routine.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,007 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».