№ files_lp_4_process_3_096269
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Job posting detailing the responsibilities, qualifications, and expectations for individuals leading or assisting Saturday morning ensembles for young musicians, including mentoring, rehearsal planning, and safeguarding duties.
Year:
2024-2025
Location:
United Kingdom
Theme:
Music Education
Document Type:
Job Description
Organization:
SAYM (Saturday Young Musicians)
Position:
Ensemble Leader / Assistant
Qualifications:
Degree in Music or equivalent, relevant teaching experience
Target Audience:
Young musicians, music educators
Key Skills:
Instrumental performance, teaching, communication, teamwork, safeguarding knowledge
Requirements:
Eligible to work in the UK, enhanced DBS check, identity check, references
Responsibilities:
Leading and supporting ensembles, mentoring, planning rehearsals, supporting colleagues, safeguarding young musicians
Employment Type:
Part-time/contract
Price: 8 / 10 USD
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Year:
2024
Region / City:
UK
Subject:
Linguistics Olympiad
Document Type:
Report
Institution:
UK Linguistics Olympiad (UKLO)
Author:
UKLO Committee
Target Audience:
Participants, sponsors, and interested stakeholders
Period of Activity:
2024
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
Subject:
Music
Document Type:
Lesson Plan
Target Audience:
Music teachers and instructors
Contextual Description:
Template for creating detailed music ensemble lesson plans, including objectives, assessments, materials, and special accommodations for different learners.
Year:
2025
Region / City:
New Orleans, Louisiana
Topic:
Music Education, Professional Development
Document Type:
Request Letter
Organization / Institution:
Louisiana Music Educators Association (LMEA)
Author:
[Insert Author Name]
Target Audience:
School Administrators, District Leaders, Colleagues, Music Educators
Period of Validity:
January 16–19, 2025
Approval Date:
[Insert Date of Approval]
Revision Date:
[Insert Date of Revision]
Year:
2022
Subject:
Machine Learning, Ensemble Methods, Unsupervised Learning
Document Type:
Educational Unit / Lecture Notes
Author:
Not specified
Target Audience:
Students and researchers in machine learning
Techniques Covered:
Model combination, Voting schemes, Bagging, Boosting, Stacking, K-means clustering, K-nearest neighbors, Gaussian mixture models, Expectation maximization
Scope:
Theoretical explanation of ensemble learning and unsupervised methods, including algorithm generation and combination strategies
Year:
2024
Region / City:
Baton Rouge, LA
Topic:
Piano Ensemble Festival
Document Type:
Rules and Procedures
Organ / Institution:
LMTA (Louisiana Music Teachers Association)
Author:
LMTA
Target Audience:
Students, Teachers
Period of Validity:
June 15–16, 2024
Approval Date:
Not specified
Amendment Date:
Not specified
Note:
Contextual Description
Document type:
Supplementary information
Related article:
An ensemble method utilising multiple thinking styles that boosts the wisdom of the inner crowd effect
Authors:
Itsuki Fujisaki; Lingxi Yu; Yuki Tsukamura; Kunhao Yang; Kazuhiro Ueda
Corresponding authors:
Itsuki Fujisaki; Kazuhiro Ueda
Email:
[email protected]
Experiments:
Experiment 1; Experiment 2
Methods:
Ensemble method; optimal weighting; averaging; mixed-effects analysis; ANOVA; parameter estimation; Bayesian modelling
Software:
R (brms package)
Variables:
Intuition; Deliberation; Dialectic; General crowd; Disagree-other; MSE; confidence; diversity; collective performance
Statistical parameters:
slope a; intercept b; prior variance 300; four chains; 5,000 samplings; 2,000 warm-up; seed 1; convergence criterion R < 1.1
Tables:
S1–S3
Figures:
S1–S9
References:
Fujisaki et al. (2023); Rauhut & Lorenz (2011)
Year:
2025
Location:
Ho Chi Minh City, Vietnam
Topic:
Computational Collective Intelligence, Machine Learning
Document Type:
Conference Announcement
Organizing Institution:
Wroclaw University of Science and Technology, University of New Hampshire
Authors:
Prof. Jan Kowalski, Prof. Adam Novak
Target Audience:
Researchers, Practitioners
Period:
November 12-15, 2025
Submission Deadline:
February 15, 2025
Acceptance Notification:
April 15, 2025
Camera-ready Paper Deadline:
May 1, 2025
Registration Deadline:
May 1, 2025
Year:
2019
Location:
Kisumu County, Kenya
Type of organization:
Youth arts and theatre group
Registration number:
PAD/2508/05/2013
Focus areas:
Talent development, arts advocacy, community empowerment
Art forms:
Contemporary dance, traditional dance, modelling, stage theater, community theater, spoken word, narratives, stand-up comedy, radio dramas, film production, visual arts, event management
Vision:
Youth empowerment through arts and social integration
Mission:
Development programs using arts and media, education, social cohesion, women empowerment, democracy and governance, children rights
Target audience:
Youths and vulnerable communities in Kisumu and Western Kenya
Partnerships:
Kisumu Urban Apostolate Program (KUAP), Care Kenya International, Umande Trust, WAYANNAAC, Pal Omega CBO
Board structure:
Board of Directors, Managing Committee, Artistic Directors, Finance and Admin, Office Assistant/Secretary
Membership:
24 members (40% female, 60% male)
Notable achievements:
Participation in G-pange Gate Festival 2012, Ministry of Culture Arts Festival 2012, Kisumu Peer Educators Festival 2013, UNESCO-KNATCOM 2018
Educational initiatives:
School drama festivals, workshops in martial arts, aerobics, Zumba, yoga
Contact:
[email protected]
Note:
, P.O BOX 19450-40100, Kisumu, Kenya, 0701 739 992 / 0702 625 678
Year:
2024
Region / City:
Australia
Topic:
Music Performance
Document Type:
Subject Outline
Organization / Institution:
Australian Curriculum, Assessment and Reporting Authority (ACARA)
Author:
ACARA
Target Audience:
Teachers, Music Educators, Students
Period of Validity:
From 2024 onwards
Approval Date:
Not specified
Date of Modifications:
2024
Year:
2024
Region:
European Union
Theme:
Soil health and degradation
Document type:
Research figure/data description
Institution:
European Environment Agency (EEA)
Author:
Panagos et al.
Target audience:
Soil scientists, ecologists, environmental researchers
Methodology:
Random Forest ensemble modelling
Indicators analyzed:
Biotic indicators, soil degradation processes
Classification criteria:
Temporal Beta-Diversity Index, deviation from non-degradation reference
Data sources:
In-situ measurements, extracted environmental variables
Reference frameworks:
EU official soil health framework, EUSO standards
Year:
2025-2026
Institution:
Whitworth University
Type:
Faculty biographies
Discipline:
Music / Performing Arts
Audience:
Event organizers, concert attendees
Location:
Spokane, Washington, USA
Content reviewed by:
Whitworth Marketing & Communications Office
Document purpose:
Program use for music ensemble events
Contributors:
Philip Baldwin, Jared Hall, Xiaosha Lin, Scott Miller
Format:
Text for printed event programs
Contact:
Megan Jonas, Associate Director of Content, [email protected]