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Record W4393859402 · doi:10.1163/9789004546189_008

Building an Interdisciplinary University from the Center Out

2024· book-chapter· en· W4393859402 on OpenAlexaboutno aff
Gary S. Hauk

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)Library scienceSociologyComputer science

Abstract

fetched live from OpenAlex

In one of the more recent, and perhaps the most personally revelatory, of his long list of books published over the past forty-some years, John Witte, Jr. recalls that as a child and adolescent growing up in Canada, he played a lot of soccer.1 Or, at least, he played enough to be sufficiently skillful as a center halfback to be in the thick of things much of the time.Playing offense as well as defense, he had opportunities to score but also to steal the ball from opponents.What gave him as much pleasure as anything, he remembers, was the joy of passing the ball at just the right moment to enable a teammate to score.This assist counted almost as much as if John had scored the goal himself.Toting up stats at the end of the season, he took great pride in the number of his assists.Comparing this sporting activity to his professional life, John reflected in this recent essay that he still finds satisfaction as a kind of intellectual center halfback.In his work as a teacher, scholar, and director of an influential academic center, joy often comes in passing the ball-in this case, suggesting a dissertation topic for a student, inviting a colleague for a visiting lectureship, or collaborating on a book.All of these initiatives involve fellow scholarsteammates-in probing the relationship of law and religion.This game has been going on much longer than regulation-some forty years-and by now the score has been run-up to ridiculous numbers.And along the way, John Witte has made more assists than statisticians can adequately tabulate.The playing field for much of this fun has been Emory University, where

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.188
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.007

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 head0.106
GPT teacher head0.417
Teacher spread0.312 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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