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Record W4406530911 · doi:10.12794/metadc1985901

Wayne Barrington (1924-2011): Examining His Life, Career and Teaching through His Published and Unpublished Works and Interviews with His Former Students and Colleagues

2022· dissertation· en· W4406530911 on OpenAlexaboutno aff
Alexis Sczepanik

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPsychoanalysisGerontologyMedicine

Abstract

fetched live from OpenAlex

Wayne Barrington was a tenured member of the Chicago Symphony Orchestra for ten years and held positions with the LA Philharmonic, Pittsburgh Symphony, and San Antonio Symphony. He was an early member of the Chicago Brass Ensemble and a founding member of the LA Brass. While performing in these major orchestras and brass quintets, Barrington played alongside many notable musicians including Philip Farkas, Forrest Standley, Arnold Jacobs, Bud Herseth, Frank Crisafulli, Miles Anderson, Roger Bobo, David Krebhiel, and Christopher Leuba. Many of these musicians mentioned have received recognition in books and dissertations for their achievements as performers and pedagogues. Barrington, however, has not. Barrington was also a founding member and secretary of ICSOM, the International Conference of Symphony and Orchestra musicians. This organization helped improve the working conditions for musicians by creating transparency of orchestra salaries and giving musicians throughout the United States and Canada a say in ratifying their contracts. After Barrington's years as a symphonic musician, he transitioned from a full-time performer to a full-time pedagogue and taught for over three decades at the University of Texas at Austin, and several of his students went on to have successful careers of their own. His impressive career and influence are noteworthy. This lecture and the accompanying dissertation serve to pay tribute to the life and career of Wayne Barrington by offering a biography of his professional playing positions, union activism, teaching philosophy, and impact on several of his colleagues and students.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.164
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0380.020
Scholarly communication0.0170.016
Open science0.0020.009
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0100.003

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 head0.052
GPT teacher head0.387
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), 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
Published2022
Admission routes1
Has abstractyes

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