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Record W6991479295

High School Senior Receives Gardner-Webb University’s Top Scholarship

2016· article· en· W6991479295 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - Gardner-Webb University (Gardner–Webb University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipExcellenceSurpriseCeremonyQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

A Clayton, N.C., high school student has been awarded a four-year, comprehensive scholarship to attend Gardner-Webb University, a Division I liberal arts Christian institution located in the foothills of the North Carolina Blue Ridge Mountains. 18-year-old Michael “Mike” McCray, son of Michael and Marci McCray of Clayton, N.C., learned of the Ignite Excellence Comprehensive Scholarship award during a surprise ceremony at the school on March 2. Previously, he and more than 200 other students traveled to Gardner-Webb to interview for a chance to receive a tuition, room and board scholarship or one of four full-tuition scholarships.

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)0.003
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 score0.299
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0060.001
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2990.097

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 head0.023
GPT teacher head0.221
Teacher spread0.198 · 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.

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
Published2016
Admission routes1
Has abstractyes

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