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Record W7034240039

UND Granted $16,000 by Canadian Embassy

2011· article· en· W7034240039 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Circumstantial evidenceSubpoenaGloomPopulationState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The Government of Canada, through the Research and Academic Relations Office of the Canadian Embassy in Washington D.C., along with the Consulate General of Canada in Minneapolis, MN, has awarded the University of North Dakota Program in Canadian, Quebec and North American Francophone Studies a grant totaling CAD$16,000. This Program Enhancement Grant will enhance UND's ability to maintain and develop a wide spectrum of course offerings and outreach activities in the Canadian Studies Minor on campus. Dr. Timothy Pasch, Assistant Professor in the Communication Program, wrote the grant. "The UND Program in Canadian, Quebec and North American Francophone Studies is engaged beyond the University campus itself, and is active in various cultural, economic, and governmental events," said Dr. Pasch. In March 2011, Dr. Virgil Benoit and Dr. Pasch traveled to Bismarck for Canada Day in the North Dakota Capitol to visit with state and provincial legislators. As Canadian Consul General Martin Loken stated at the North Dakota State Legislature, "Canada and North Dakota traded an average of $3.5 billion in goods annually during the past three years. We make and grow things together, and that's a benefit for both of us." Speaker of the House David Drovdal said "We share so much and do so much business with our northern neighbors. More than one-half of exports from North Dakota go to Canada, and the number of Canadian tourists exceeds the number from any other country, contributing approximately $300 million in tourism revenue annually to our economy. It is important to recognize those economic connections." The UND Canadian Studies Program seeks to optimize this mutually beneficial relationship between Canada and North Dakota. "Benefitting from the close proximity of Grand Forks to the Canadian border, the Program works to enhance the networking opportunities between Canadian students, faculty, staff, and alumni at UND, and functions to create awareness among all students at UND, and among the Greater Grand Forks Community, about opportunities that exist for mutually beneficial exchanges with Canada" said Pasch. The UND Program in Canadian, Quebec and North American Francophone Studies is committed to maintaining and developing a wide spectrum of course offerings in Canadian Studies on campus, and to functioning as a University Center in the Upper Midwest for the development of Canada-US Relations. The Program, situated in the College of Arts and Sciences of the University, welcomes interdisciplinary exchanges focused on linguistic, economic, historical, legal, socio-political and cultural aspects shared by Canada and the United States. Members include Dr. Virgil Benoit, Dr. Kyle Conway, Dr. James Mochoruk, Dr. Douglas Munski, and Dr. Timothy Pasch. The University of North Dakota College of Arts & Sciences is proud to be the home of Canadian, Quebec and North American Francophone studies along with eighteen departments and nearly a dozen special programs of study. For more information or to support any of our programs, visit www.und.edu/arts-sciences.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.517
Threshold uncertainty score0.784

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.001
Scholarly communication0.0100.002
Open science0.0020.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.5170.313

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 head0.021
GPT teacher head0.174
Teacher spread0.153 · 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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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