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Record W4395087422 · doi:10.1017/9781108891349.002

Education

2024· book-chapter· en· W4395087422 on OpenAlex
Paul R. Laird

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEducational Theory and Curriculum Studies
Canadian institutionsMount Allison University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This chapter describes Bernstein’s education, which prepared him well for his chosen activities. His primary and secondary education took place at William Lloyd Garrison School in Roxbury, MA, and his final six years at the demanding Boston Latin School. Bernstein then attended Harvard College, where he earned an A.B. in Music in 1939. His early life also included two hours of daily Hebrew study at the family’s temple from age eight until his Bar Mitzvah. In addition to his largely academic training in music at Harvard, Bernstein studied piano privately from age ten until his college graduation, and then for two years attended the Curtis Institute of Music in Philadelphia, where he studied conducting with Fritz Reiner and piano with Isabelle Vengerova, earning an M.M. His formal study and the many connections that he made while at Harvard and Curtis helped make possible Bernstein’s rapid success as a conductor and composer.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.864
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.263
Teacher spread0.237 · 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