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Record W7139436822

David Brandt

2007· article· W7139436822 on OpenAlexaboutno aff
George Fox University Archives

Bibliographic record

VenueDigital Commons - George Fox University (George Fox University) · 2007
Typearticle
Language
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)PresidencyWifeDiversity (politics)Work (physics)Fell
DOInot available

Abstract

fetched live from OpenAlex

David Brandt was the 11th president of George Fox University, assuming the position August 1, 1998. Brandt was born September 18, 1938 in Manitoba, Canada. As a youth he wanted to become a high school physics teacher, and went on to study physics in his undergrad education. After gaining his bachelor's degree he continued to pursue education, going on to get a PhD in physics from the University of Oklahoma. In addition to his work in physics he gained a lot of experience in college administration. David Brandt and his wife Melva were living in Kansas when he was first offered the Presidency at George Fox and he initially refused because he liked where he worked. Ultimately they felt that God was leading them to Fox where he took over from Edward Stevens. One of his goals was for George Fox to promote diversity and work through differences of culture and background among the people at the university. In 2015, a new dormitory, Brandt Hall, was named in his honor. President Brant was on hand to dedicate the building and help students move in.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.086
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0860.035

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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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 designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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