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Record W7059609551

Presentations

2016· article· en· W7059609551 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - Andrews University (Andrews University) · 2016
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFaithChristian faithHigher educationColumbia universityChristianityUniversity educationScience educationChemistCreationism
DOInot available

Abstract

fetched live from OpenAlex

DARREL FALK Dr. Falk received his B.Sc. from Simon Fraser University, and earned his Ph.D. from the University of Alberta. He did postdoctoral work at The University of British Columbia and the University of California, Irvine before accepting a faculty position at Syracuse University in New York. In 1988 he transitioned into Christian higher education in the biology department at Point Loma Nazarene University in San Diego, where he is now Emeritus Professor of Biology. He is a member of the American Association for the Advancement of Science, the Genetics Society of America, and the American Scientific Affiliation. He is the author of Coming to Peace with Science: Bridging the Worlds Between Faith and Biology, and he speaks frequently on the relationship between science and faith at universities and seminaries. TODD WOOD Dr. Wood is the Core Academy president and professor of biochemistry. He is a graduate of Liberty University and the University of Virginia. He worked for thirteen years at Bryan College before starting Core Academy of Science. Todd authored or co-authored more than 40 technical papers, and he currently serves as president of the Creation Biology Society. Todd was featured in a 2012 cover article in Christianity Today. He speaks to churches and schools on issues related to science and faith, creationism, and creationist biology.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.172
Teacher spread0.162 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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