Record W4251212174 · doi:10.1016/j.jand.2019.10.002

2019 Academy of Nutrition and Dietetics Foundation Scholarship Recipients

2019· article· en· W4251212174 on OpenAlexfundno aff

Bibliographic record

VenueJournal of the Academy of Nutrition and Dietetics · 2019

Typearticle

Languageen

FieldHealth Professions

TopicDietetics, Nutrition, and Education

Canadian institutionsnot available

FundersNIH Clinical CenterTexas A and M University Health Science CenterUniversity of Illinois at ChicagoUniversity of California, San FranciscoUniversity of Texas at DallasNorthwest UniversityFP7 Coordination of Non-Community Research ProgrammesUniversity of New EnglandDominican University of CaliforniaUniversity of MontevalloCity, University of LondonNova Southeastern UniversityMontana State UniversityIowa State UniversityUniversity of North FloridaSchool of Public Health, University of MichiganUniversity of South FloridaUniversity of Hawai'iRush UniversityCentral Michigan UniversityMiddle Tennessee State UniversityGeorgia State UniversityUniversity of MarylandCalifornia State Polytechnic University, PomonaSaint Louis UniversityUniversity of VirginiaUniversity of Rhode IslandBall State UniversitySouth Dakota State UniversityCase Western Reserve UniversityIndiana University-Purdue University IndianapolisUniversity of UtahArizona State UniversityUniversity of KentuckyFlorida Department of Agriculture and Consumer ServicesMissouri State UniversityLoma Linda UniversityCleveland ClinicPurdue UniversityOregon Health and Science UniversityUniversity of MichiganVillanova UniversityUniversity of Nevada, Las VegasUniversity of CincinnatiDuke UniversityWestern Michigan UniversityHarvard UniversityUniversity of TennesseeUniversity of California, San DiegoUniversity of Southern MississippiJohns Hopkins UniversityUniversity of WashingtonUniversity of Illinois at Urbana-ChampaignWestern Carolina UniversityColorado State UniversityUniversity of GeorgiaNorthern Illinois UniversityDiabetes CanadaOhio State UniversityUniversity of Texas Southwestern Medical CenterMichigan State UniversityTexas A and M UniversityVanderbilt UniversityAcademyHealthUniversity of FloridaUniversity of CaliforniaBowling Green State UniversityUniversity of MemphisUniversity of Southern CaliforniaUniversity of OklahomaWashington State UniversityCampbell FoundationTufts UniversityAcademy of Nutrition and Dietetics FoundationUniversity of MississippiUniversity of KansasCity University of New YorkCalifornia State UniversityOklahoma State UniversityUniversity of MinnesotaColumbia UniversityMassachusetts General HospitalBeth Israel Deaconess Medical CenterCenter for Ecology and Environmental Technology, University of Louisiana at LafayetteUniversity of ArizonaUniversity of North CarolinaRutgers, The State University of New JerseyUtah State UniversityTexas Tech UniversityEmory UniversityHunter CollegeBrigham and Women's Hospital

KeywordsScholarshipFoundation (evidence)MedicineGerontologyMedical educationPolitical science

DOI10.1016/j.jand.2019.10.002

Abstract

fetched live from OpenAlex

No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.003

metaresearch head score (Gemma)0.009

Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated

Candidate categoriesInsufficient payload (model declined to judge)

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 score0.402

Threshold uncertainty score0.853

Distilled classifier scores by category (both heads)

Category	Codex	Gemma
Metaresearch	0.003	0.009
Meta-epidemiology (narrow)	0.001	0.000
Meta-epidemiology (broad)	0.001	0.001
Bibliometrics	0.003	0.001
Science and technology studies	0.004	0.001
Scholarly communication	0.004	0.002
Open science	0.001	0.006
Research integrity	0.005	0.003
Insufficient payload (model declined to judge)	0.402	0.272

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 head0.088

GPT teacher head0.415

Teacher spread0.327 · 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