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Enregistrement W74575596

The Use of Science and Imagery in the Voice Studio-A Survey of Voice Teachers in the United States and Canada

2013· article· en· W74575596 sur OpenAlexaboutno aff
Rachel Ware

Notice bibliographique

RevueJournal of Singing · 2013
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueDiverse Musicological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSingingStudioGarciaPsychologyMillerVoice TrainingSociologyVisual artsPedagogyArtHumanities
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

American vocal pedagogy has become a body with two heads, one speaking with the voice of the subjective teacher, the other with the voice of the science-oriented teacher.1SO WROTE RICHARD MILLER IN HIS seminal 1996 work when describing the longstanding and ongoing philosophic divide between those teachers who rely on vocal and those who rely on imagery.2 This article will report on the results of a recent survey of over 500 voice teachers in the United States and Canada concerning the use of and in the voice studio. The survey has yielded interesting results. It has documented the broad-based use of a blended approach to the use of and imagery. It has also revealed both the need and desire for better communication within our profession.HISTORICAL CONTEXTThe philosophic division between science-based and imagery-based approaches to voice pedagogy is long standing, dating to the invention of the laryngoscope by Manuel Garcia in 1854.3 This science vs. imagery debate continued into the twentieth century. One commentator, for example, declared science is a blind man's guess,4 while another pointedly lamented singers' lack of understanding of voice science.5Within the past ten years, numerous articles acknowledging the division between the science-based and imagery-based methods have appeared in the Journal of Singing. Pedagogues Donald Freed,6 Margaret Kennedy-Dygas,7 Paul Kiesgen,8 Kenneth Bozeman,9 Lynn Heiding,10 Ingo Titze,11 and Deirdre Michael12 all have added their observations and opinions to the debate. Bozeman observed in 2007,[t]here are nonetheless those who claim that voice has not helped voice instruction, that it has been a distraction, or still worse, a substitute for effective teaching. While this no doubt has been true in some instances, the same criticism could be leveled at exclusive reliance on historic pedagogy.13Similarly, Helding acknowledged that same year the existence of a pedagogic rift between and when she stated,While few voice experts agree on the quality and extent of [the] influence [of Voice Science], most would concur that it is significant, that this influence has been both positive and negative, and finally, that disagreement and miscommunication between voice scientists and voice pedagogues unfortunately persist.14PURPOSE AND METHOD OF SURVEYThere clearly has been no shortage of debate over the use of or by voice teachers; however, there appears to be a lack of data about what techniques are actually being used by contemporary pedagogues. In other words, we don't know whether present day voice teachers choose to use one of these techniques to the exclusion of the other.Therefore, a survey was conducted among several hundred voice teachers in the United States and Canada. It asked them to compare the relative value of with that of when teaching their own students in their own studios. It asked whether they believe the profession remains philosophically divided between proponents of the science-based and imagery-based methods, and in so doing sought to determine whether the perception meets the reality.The survey was conducted from June 20 to July 28, 2010 via emails sent to 3,148 members of the College Music Society who identified themselves as voice pedagogues; 520 responses were received and analyzed. The survey consisted of fifteen questions. It also invited respondents to provide narrative comments and contact information to invite further discussion with the survey author.The following background information was collected about these 520 survey respondents:1) Geographic distribution of respondents: 19% live and work in the East Coast region, 20% in the South, 30% in the Midwest, 10% in the West/Southwest, and 2% in Canada.152) Degrees earned: 79% have at least a bachelor's degree, 71% an MM, 11% an MA, 43% a DMA, and 5% a PhD; 12% report holding a degree or performance credentials not listed on the survey form. …

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)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,288

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0040,006
Études des sciences et des technologies0,0090,004
Communication savante0,0040,002
Science ouverte0,0020,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,133
Tête enseignante GPT0,246
Écart entre enseignants0,113 · 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'étudeObservationnel
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

Citations12
Publié2013
Routes d'admission1
Résumé présentoui

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