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Record W7067910885

Minnesota Crookston Senior Malia Pula Finds Home in the Sport of Softball

2020· other· en· W7067910885 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUniversity of Minnesota Digital Conservancy (University of Minnesota) · 2020
Typeother
Languageen
FieldEngineering
TopicHeat Transfer and Numerical Methods
Canadian institutionsAthletic Edge Sports Medicine
Fundersnot available
KeywordsWork (physics)Agency (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

"Playing the game I love is like home to me," those were the words University of Minnesota Crookston softball senior Malia Pula used to describe softball, a sport that has been in her life since second grade.It has been a sport that took her around California and the country playing softball as a youth.A sport where she would compete at the junior college level and learn everything she would ever want to know about softball from her head coach and former USA Olympian Vicky Galindo.It would be a sport that would take Pula away from the comforts of her home in Gilroy, Calif., located outside of San Jose, Calif., a city of over a million in the Bay Area, to Crookston, Minn., to continue her collegiate career.Though her softball career came to a halt all too early due to COVID-19, it has still been a sport that has given so much back to Pula.She has gotten the chance to play the sport she loved for the last 14 years at a high level, something many young girls dream of.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.191
Teacher spread0.178 · 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