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Record W7132993005

The contribution of Doreen Hall to the development of Orff-Schulwerk in Canada, 1954--1986

2005· dissertation· W7132993005 on OpenAlexaboutno aff
Raymond Joseph Sanborn

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Meaning (existential)Period (music)Music educationOrder (exchange)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

This study will be of interest to historians of music education as well as those who are interested in the development of Orff---Schulwerk in North America from 1955 to 1986. Historical data from primary sources and published books and articles serve as the basis for this study of Doreen Hall's remarkable career in music education. During the period of 1954 to 1986 Hall worked tirelessly in order to introduce the ideas of Carl Orff into music education in Canada and the United States. This study attempts to provide an overview of the main events and initiatives Hall was involved in that led to the acceptance of Orff---Schulwerk (the name given to Orff's philosophy of music education and those techniques that defined it) in North America. This study also attempts to understand the meaning of Hall's work for music education in the public schools of Canada. Even though the focus is on the significance of her work for music education in Canada, key events that she was involved in that influenced the acceptance of Orff---Schulwerk in the United States will also be touched upon. Chapters One and Two establish the context for this study by providing an overview of Orff's work in Munich at the Guntherschule as well as the nature of music education in Canada when Doreen Hall began her work. Chapters 2--5 review and analyze the significance of the many events and initiatives Doreen Hall was involved with in order to establish Orff---Schulwerk in Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.359
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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