Snowmobile fugitive sentenced to federal prison
Bibliographic record
Abstract
A man who rode a rented snowmobile across the U.S. border into Canada in 2005 to avoid charges that he hid up to $4 million in cash after declaring bankruptcy has been sentenced to 18 months in prison. The multi-millionaire who fled the U.S. on a rented snowmobile twelve years ago to hide in Canada will spend a year and a half in a federal prison.Cyril Gordon Lunn owned a construction and development business in Pepperell, Massachusetts and declared bankruptcy in 2001.But he'd hidden millions of dollars in cash in Canada and didn't tell anyone about it.Lunn was sentenced in federal court after pleading guilty to concealing assets and committing perjury.In 2005, Lunn rented a snowmobile in Maine, and rode it into New Brunswick. He remained a fugitive until last year.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".