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Record W7070551803

Online MBA Student Visits Campus for Graduation

2016· article· en· W7070551803 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)CeremonyInstitutionCommunity collegeAdministration (probate law)Full-timeWork (physics)AttendanceGermanQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Robyn McBrady graduated from the University of North Dakota on Saturday, May 14. It was the first time she’d ever stepped foot on campus. A native of Kensington, Minn. McBrady was one of more than 2,100 UND students who were eligible to receive degrees from the institution at the General Commencement exercise at the Alerus Center. McBrady attained her Master’s Degree in Business Administration exclusively online and with other distance-learning means through UND’s Office of Extended Learning. McBrady explains that she has been to Grand Forks but she had never made it to the UND campus before Saturday, despite earning enough credits for a UND master’s degree. Kensington is a small Minnesota community of about 300 people, southeast of Alexandria, Minn., in Douglas County. It’s about 180 miles southeast of Grand Forks, as the crow flies. UND’s online MBA program is administered through the College of Business and Public Administration and the Office of Extended Learning. Of the 2,100 students who were eligible to graduate, more than 1,200 of them took part in Saturday’s ceremony. Unlike many of her fellow graduating classmates who spent at least four years working toward their degrees on campus here at UND, McBrady was quite literally – here and gone. She was scheduled to arrive in Grand Forks from her home in Kensington sometime late morning Saturday before the commencement ceremony at 1:30 p.m. With degree in hand and after a quick interview with a local Grand Forks TV station, she was on her way home again.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
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 head0.025
GPT teacher head0.242
Teacher spread0.217 · 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 designObservational
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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