The Story of 'the Coffee Cowboy' Robert Chetwynd
Bibliographic record
Abstract
In this episode, we are going to come face to face with one of most prosecuted people in Nova Scotia's storied history.Our guest is a criminal so hardened that when I asked him for an estimate on the length of his rap sheet, he simply drew a blank and giggled. But, that's probably for the better as listing the charges this man has faced would be about as interesting, and as exhausting, as reading through the Canadian Criminal Code.But, as you will soon learn, there is much more to it.when the layers of legalese are peeled back this isn't the story of a career criminal. It's the story of a man who simply wanted to hang around at tim horton's parking lot drinking coffee with his friends.The problems started when he lost his license and bought of horse as a way to get around town. If this man on horseback was a can of gasoline... the match that ignited it would be his dispute with the management of his small town Tim Horton.After several instances of his horse answering the call of nature on their property.... He was told that he, nor his chestnut quarter horse were no longer welcome on their property... a demand he refused to obey. Now, nearly 20 years after the events that made him and his horse international news, He is willing to tell his story.In this episode of Nighttime, we are going to be joined by 'The Coffee Cowboy' Robert Chetwynd.Links:Jellohead by South Short Sound Squad: https://soundclick.com/r/snt5vPremium Feed: https://www.patreon.com/nighttimepodcastContact:Website: https://www.nighttimepodcast.comTwitter: https://twitter.com/NightTimePodFacebook: https://www.facebook.com/NightTimePodInstagram: https://www.instagram.com/nighttimepodEmail: NightTimePodcast@gmail.comPremium Feed: https://www.patreon.com/NighttimepodcastSee omnystudio.com/listener for privacy information.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.074 | 0.001 |
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".