MétaCan
Menu
Back to cohort
Record W7052743353

Sharley Kurtz most recent employee to receive STAR Award

2014· article· en· W7052743353 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Work (physics)Service (business)Star (game theory)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Within the last year, three staff members of the College of Nursing & Professional Disciplines have been recognized for their contributions to the college and UND by the Council of State Employees (COSE). Each quarter, COSE accepts nominations and selects winners for the Service, Teamwork, Achievement, and Respect (STAR) award. During the first quarter of 2013, Susie Kroetsch, Accountant for the CNPD, received the award. In the fourth quarter of 2013, Peter Tunseth, Director of the Children & Family Training Service Center, was selected as an honoree. For the first quarter of 2014, Charley Kurtz, Instructional Designer for the CNPD, was named as a recipient. Susie, Pete, and Shar are three of the best representatives our college could ask for. Their commitment to UND, our community, and their professions make them exemplary models for our fellow faculty, staff, and students. Congratulations to all three of you, and thank you for your hard work and effort. The Dean's Office asks that you help us congratulate all three employees on Wednesday, April 30th at 2:00 pm. A small reception will be held in the break room of the Nursing Building, located on the third floor.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.231
Threshold uncertainty score0.772

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2310.195

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueUND Scholarly Commons (University of North Dakota)Same topicRadiation Detection and Scintillator TechnologiesFrench-language works237,207