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Minding Collab Manners

2016· article· en· W2598082467 sur OpenAlexaboutno aff
Margo Garrett

Notice bibliographique

RevueJournal of Singing · 2016
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueDiverse Music Education Insights
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPianoConversationSession (web analytics)SingingPsychologyStudioPresentation (obstetrics)Visual artsPedagogyMathematics educationComputer scienceCommunicationManagementWorld Wide WebArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

I HAVE HAD SEVERAL WELCOMING EMAILS and other forms of communication since the first Collab Corner appeared in the November/December 2015 Journal of Singing and I thank you very much, indeed, for those. You have made me feel very welcome! I also have had as many requests asking that I address the work of a pianist who functions as an accompanist in teaching studios, is desirous of growing, but has not or is not studying in a formalized collaborative piano department and may not have had prior training specific to their or the teacher's needs. Actually, this topic first arose in conversation after a breakout session at the NATS National Conference in Boston last July when Donna Loewy, Elvia Pucinelli, and I were asked how voice teachers could help would-be collabs grow outside of a collab training program. Our answer was, essentially, contact us or one of our colleagues in the growing numbers of collaborative training programs in North America. We will try to help them. But be sure to have them google collaborative piano'. Especially helpful is Canadian Chris Foley's collaborativepiano.blogspot.com. But there are many sites that provide tremendous tools for self-study and more being created all the time.How can voice teachers aid the success of a collaborative student or staff member who works in their studios and/or classes? Certainly we know teachers barely have time to effectively mentor their own students and may be a bit nervous about taking on the responsibility of mentoring a pianist, despite their expressed concern for and interest in doing so. I sometimes see that staff or freelance pianists working in studios are left in a kind of no man's land without effective mentorship or stated expectations, as we wish not to treat them as students, and therefore don't speak when we wish we could and know we should, but do not know how. Not wanting to hurt feelings or to treat a professional as a student, I know I have too often abdicated my responsibility to create the best processes in my own teaching studio.I hope, then, that the following will be helpful to us all. Little of this is totally original to me, but includes bits and pieces of the works of others saved over a period of many years and finally reworked and first put in print six years ago for the Collaborative Pianists Handbook at The Juilliard School. I have since seen these pages of the handbook being used as far away as China and New Zealand, and I hope that means they will be helpful to you, too. These were all intended for collaborative pianists, but as many of the inspirations came from several vocal department handbooks, I offer them to all with thanks particularly to The Juilliard School's Vocal Arts Department whose own department handbook inspired me to create ours and from whose Preparedness Policy I adapted the following one.PREPAREDNESS POLICYPreparedness demonstrates artistic integrity and commitment, as well as respect for teachers, the actual music, and partnering colleagues. Your preparedness and punctuality matter!Being prepared for your responsibilities, whether lessons, rehearsals, or master classes means the following:* You have independently learned and can perform the notes and rhythms of the assigned music.* You have translated and understand the meaning of all text belonging to the assigned music.* You understand the assignment in its dramatic, stylistic, and historical context.* You have brought not only the score for your own use to the lesson or coaching, but you have brought another score for the teacher or partner who may not have one.* You are rested and mentally prepared to be present at all times in the lesson, rehearsal, or class.* You have warmed up before the lesson, class, coaching, or rehearsal.* You typically arrive on time, and if you are going to be late for any reason, you notify the teacher and your colleague(s).* You check your email and your cell phone several times a day for last-minute messages. …

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)0,003
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,045
Score d'incertitude au seuil0,151

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,010
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0170,012
Communication savante0,0110,009
Science ouverte0,0010,018
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0450,014

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 Opus0,049
Tête enseignante GPT0,241
Écart entre enseignants0,191 · 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'étudeSans objet
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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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