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Record W7063932312

Aaron Heitke, '97, Named Commander of Grand Forks Border Patrol

2015· article· en· W7063932312 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPretextCircumstantial evidenceSubject (documents)SubpoenaGovernment (linguistics)TSG101
DOInot available

Abstract

fetched live from OpenAlex

It was a homecoming of sorts for Aaron Heitke. The UND School of Law graduate and Minnesota native formally was named on Wednesday chief patrol agent of the Grand Forks Border Patrol sector that oversees eight northern and midwestern states as well as 861 miles of the U.S.-Canadian border in North Dakota, Minnesota and Wisconsin. In the formal ceremony at Grand Forks Air Force Base attended by numerous federal, state and local partners, Chief of the U.S. Border Patrol Michael J. Fisher pinned a badge on Heitke, symbolizing the transfer of responsibility. "It's humbling," Heitke said afterward. "I'm very proud to be selected as the chief. It's been a personal goal of mine for many years and something that I've worked hard for." Fisher said Heitke is the right man for the job and will be a great fit in his new position. "I've known and worked with the chief (Heitke) for a number of years," Fisher said. "He has an impeccable reputation and unquestionable integrity. I think he's going to be good, not just for the organization, but for the surrounding community." Heitke, who officially took command of the sector in June, replaced Austin Skero, who was promoted to a similar position in the Washington, D.C., metro area. Heitke career has covered more than 17 years of service in various roles, most recently as the deputy chief patrol agent of the Havre, Mont., sector in before taking this job. Graduating from the University of Minnesota-Duluth before attending law school at UND, Heitke was inducted into the Minnesota Bar Association in 1997 and practiced law for a short time before entering the Border Patrol. Heitke, a native of Paynesville, Minn., is happy to finally be back in the area where he grew up, he said. "The last time I lived here was the big flood," he said. "This town has changed a lot and grown quite a bit since I left, but it's been great to come back." Heitke said one of the biggest issues in the sector will be dealing with the growing number of arrests and problems in the Bakken. He said he also hopes to work with local law enforcement and partner agencies in order to control the border and make the area under his watch safer. With about 200 agents, the Grand Forks sector is one of 21 sectors in the U.S. Border Patrol and has the largest border with a foreign country. Heitke said with the threat of terrorism, the border patrol is critical to homeland security. "Our job is extremely important," he said. "We need to provide defense in order to protect the United States."

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)0.001
metaresearch head score (Gemma)0.003
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 score0.211
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0240.002
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.1090.020

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 head0.028
GPT teacher head0.253
Teacher spread0.225 · 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
Published2015
Admission routes1
Has abstractyes

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