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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 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 score0.384
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.017
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 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
Published2014
Admission routes1
Has abstractyes

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