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Record W7071781298

UND student athletes post record 3.277 GPA during fall semester

2015· article· en· W7071781298 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2015
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationLimitingWork (physics)Event (particle physics)
DOInot available

Abstract

fetched live from OpenAlex

UND student athletes post record 3.277 GPA during fall semester University of North Dakota Director of Athletics Brian Faison announced today that UND’s 455 student-athletes combined for a 3.277 grade-point average during the Fall 2014 semester, the highest single-semester GPA in UND Athletics history. Eighteen of UND’s 21 teams had a GPA of 3.0 or greater during the fall semester. UND’s women’s teams combined for a 3.370 GPA while the men’s teams recorded a 3.174 GPA. “The ’student’ clearly does come first for the student-athletes at UND,” said Faison. “Congratulations to our student-athletes, our coaches and our academic services staff, led by Amanda Hajdu and her staff of Stacy Bjorlie and Calin Burger, for another record-breaking semester of academic successes.” Sixty-nine percent (316-455) of UND’s student-athletes recorded a GPA of 3.0 or better during the fall semester, including 70 individuals who earned a perfect 4.0. Additionally, 65 percent (294-455) of UND’s student-athletes own a cumulative GPA of at least 3.0, including 28 with a perfect 4.0 cumulative GPA. In all, 74 percent (336-455) of UND’s total student-athlete population landed on the Fall 2014 Athletics Director’s Honor Roll for achieving either a fall semester or cumulative 3.0 grade-point average. Those student-athletes will be recognized at halftime of UND’s Feb. 5 women’s basketball game against Southern Utah. In 2013-14, UND’s student-athletes achieved a 3.177 grade-point average to break the single-year department record of 3.173 previously set in 2011-12. Top 5 Women’s Team GPAs (Fall) Basketball, 3.539Hockey, 3.492Cross Country, 3.491Track & Field, 3.464Swimming & Diving, 3.460 Top 5 Men’s Team GPAs (Fall) Cross Country, 3.448Swimming & Diving, 3.364Tennis, 3.362Track & Field, 3.346Baseball, 3.330 Athletics Director's Honor Roll (Fall 2014): Baseball: Sam Alt, A.J. Anderson, Ellery Bresnahan, Luis Calvo, Jeff Campbell, Ben Clark, Brett DeGagne',Trent Egan, Brett Harrison, Zach Hayes, Zach Heaser, Reid Jungling, Chris Knoll, Dalton Leuschke, Miles Lewis, Daniel Lockhert, Zach Muckenhirn, Dalton Parrott, Taylor Petersen, T.J. Pigeon, Cameron Powell,Ryan Reese, Patrick Riewer, Tyler Ruemmele, Drew Sannes, Andrew Thome, Jacob Threlkeld, Connor Trygstad, Alex Twenge, Hunter Walsh Basketball (M): Shane Benton, Chad Calcaterra, Terrel de Rouen, Dustin Hobaugh, Quinton Hooker, James Richman, Ryan Salmonson, Jamal Webb Basketball (W): Josie Buckley, Siri Burck, Josie Dillon, Makailah Dyer, Ellen Kiser, Katie Klapprodt, Kelsey Knox, Megan Lauck, Mia Loyd, Jordan Meyer, Erin O'Toole, Ellie Ripplinger, Samantha Roscoe, Grace Sawatzke, Bailey Strand, Leah Szabla, Emily Thompson Football: Zach Adler, Brandon Anderson, Dylan Bakker, Ryan Bartels, Dylan Beck, Colton Boas, Connor Bolduc, Garrett Bollant, Pat Brown, Baylee Carr, Alec Carrothers, Austin Cieslak, Mat Cox, Spencer Cummings, Jake Disterhaupt, Brandon Dranka, Luke Fiedler, Charles Flowers, Jacob Francis, Jer Garman,Drew Greely, Jace Hellman, Ben Henson, Alex Hickel, Jacob Holmen, William James, Brian Labat, Brandon Larson, Alex MacGregor, Luke Mathewson, R.J. McGill, Brandon Miller, Jake Miller, Joe Mollberg, Alex Nelson, Kyle Norberg, Tucker Nordby, Connor O'Brien, Dillon Olson, Dwayne Pecosky, Ben Peters, Will Ratelle, Taj Rich, William Rovig, Zack Selland, Patrick Sharp, Luke Stanley, Adam Stiner, A.J. Stockwell,Keaton Studsrud, Brandon Walker, Hudson Walton, Ross Windfeldt, Kyle Woodsmall, Casey Young Golf (M): Nick Adams, Jacob Dehne, Sean Halverson, Collin Lervick, Aaron Pulanco, Daniel Sayler Golf (W): Haily Abel, Dani DelGreco, Amanda Fairweather, Alexis Guggisberg, Emma Kishel, Olivia Knutson,Sadie Martin, Tierra Novacek, Lauren Schweppe, Rylee Slotsve Hockey (M): Gage Ausmus, Drake Caggiula, Connor Gaarder, Matt Hrynkiw, Cam Johnson, Paul LaDue,Mark MacMillan, Nick Mattson, Zane McIntyre, Andrew Panzarella, Austin Poganski, Tucker Poolman,Johnny Simonson, Colten St. Clair, Troy Stecher, Keaton Thompson Hockey (W): Shelby Amsley-Benzie, Annie Chipman, Andrea Dalen

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)0.004
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 score0.424
Threshold uncertainty score0.822

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.000
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4240.320

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 head0.033
GPT teacher head0.260
Teacher spread0.226 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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