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Record W7017653157

Bonny Specker - Professor Emerita, Health and Nutritional Sciences – SDSU

2022· article· en· W7017653157 on OpenAlexaboutno aff

Bibliographic record

VenueOpen PRAIRIE (South Dakota State University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and modern epidemiology studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthMeaslesEpidemiologySmallpoxDanishMedical school
DOInot available

Abstract

fetched live from OpenAlex

Dr. Bonny Specker is Professor and Chair Emerita at South Dakota State University. She received her Ph.D. in Epidemiology from the University of Cincinnati and spent fifteen years on the faculty at Cincinnati Children’s Hospital Medical Center. In 1997, she moved to South Dakota as the E.A. Martin Endowed Chair in Human Nutrition. She has published extensively in bone, calcium, and vitamin D metabolism and in maternal and child health epidemiology. Since 2020 she has monitored the COVID-19 situation in South Dakota, posted regular blogs, and produced videos with the City of Brookings to educate the general public on basic epidemiological principles. Upon retiring in 2021, she has written a historical fiction titled “Spot On: The 1846 Faroe Islands Measles Outbreak,” inspired by the non-fictional investigation of the Danish physician and epidemiologist Peter Panum, and is currently writing her second historical fiction on the 1876-1877 Lake Winnipeg smallpox outbreak.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.620
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
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.095
GPT teacher head0.338
Teacher spread0.243 · 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.

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
Published2022
Admission routes1
Has abstractyes

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