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Record W2949843890

Annual UND Hagerty Lecture Series feature two journalists at separate events in Grand Forks and Bismarck

2015· article· en· W2949843890 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2015
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsSeries (stratigraphy)Feature (linguistics)HistoryArtificial intelligenceComputer scienceLinguisticsPhilosophyGeology
DOInot available

Abstract

fetched live from OpenAlex

Lectureship series was established through an endowment to benefit the Communication Program This year, for the first time, the University of North Dakota will present two lectures – in Grand Forks and another in Bismarck -- as part of its annual Hagerty Lecture Series. The Grand Forks lecture, on March 24, will feature David Bjerklie, a UND graduate who writes about science for children. He will focus on responding to the profound questions about science that children ask at 7 p.m. Tuesday, March 24, in the Community Room of the Grand Forks Herald, 305 Second Avenue North in downtown Grand Forks. Enter through the alley door. The Bismarck event will feature Alexander Panetta, Washington, D.C., correspondent for the Canadian Press. He'll discuss Canadian approaches to issues arising along the international border at 4:30 p.m., Tuesday, April 21, at the North Dakota Heritage Center on the capitol grounds. David Bjerklie: Bjerklie grew up in Minot, N.D., and studied biology and anthropology at UND. As a lab and field assistant, he studied spotted sandpipers on a small island in a large lake in Minnesota. He has written on a wide range of science, medicine, technology and environment topics for Time Inc., since 1984, serving as a science reporter at Time magazine, a writer at Time books and editor at Time for Kids. He is the author of children's books on butterflies, agriculture and environmental justice. In 1989-90, he spent a year as a Knight Science Journalism Fellow at the Massachusetts Institute of Technology. In 2014, he attended the 65th annual Lindau Nobel Laureate meeting in Germany and spent three weeks in Antarctica as a National Science Foundation Media fellow. Some of his recent stories for Time for Kids have been on wind sculpture, the global explosion of jellyfish and the mathematics of juggling. He has also written chapters in recent Time books on the search for life in the universe, the use of DNA in the courtroom, artificial intelligence, the nature of collaborative genius and current research in child psychology. Alexander Panetta: A Montreal native, Panetta has worked for Canada' national news agency -- the equivalent of the Associated Press in the United States -- for 16 years. He's covered federal and provincial politics for most of that time. He's also covered international news, including the war in Afghanistan and the disastrous earthquake in Haiti. Since the fall of 2013, he's been in Washington, D.C., where he reports on U.S. stories for a Canadian audience, with a special emphasis on politics and cross boundary issues. Hagerty Lecture Series: The lecture series is named for Jack Hagerty, longtime editor of the Grand Forks Herald. When Hagerty retired in 1984, The Herald established the lectureship through an endowment to the University's Communication Program. Hagerty was the husband of Marilyn Hagerty, the Herald's food writer, whose reviews have been an Internet sensation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.905

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 communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.322
Teacher spread0.276 · 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