Bibliographic record
Abstract
My Experience with Education in Canada and Federal PrisonsRod Carter I quit high school the first time in May 1964 just before the end of my second go at Grade 10.I left again in November 1964 on the heels of a two week suspension for fighting at a school dance.During my years in public school, the teachers' generally commented that I "could do better given my ability".In high school, the remarks became more psychological as I became more rebellious.My file was littered with statements such as "there has been a change in his attitude", "he avoids expression of his inner feelings" and "has a hostile attitude toward the adult world".They were not seeing it wrong!I entered prison in October 1967 hauling a three and a half year sentence.My two uncles and two cousins, who were all Ontario Provincial Police (OPP) officers, had me destined for a life of crime.I spent reception at the Big House -Kingston Penitentiary -and transferred to Collins Bay Penitentiary a few months later to complete my sentence.Early in my sentence, I recognized a thirst for education, both formal and informal.Kierkegaard (2004, p. 124) said, "Freedom is man's capacity to take a hand in his own development.It is our capacity to mould ourselves, the basic step in achieving inward freedom is 'choosing one's self'".I served cell time reading, working on correspondence courses, listening to one of three radio channels and strumming guitar.During the day, I joined seven other students in the one-classroom school where I worked on my correspondence courses, which included English literature, composition and mathematics.One guy I admired was completing a university degree.He answered any questions I had.I saw a university degree as unattainable but attractive nonetheless.It would be the university -that great proletarian parking lot -that would become my home for many years and remains so to this day.The big push in corrections then was to take trades training including automobile mechanics, carpentry, electrical, plumbing, welding, barbering and so on.After a few months, I enrolled in the automobile mechanics course and completed my correspondence courses in the evening.I was also an avid reader and started in the prison library to search for something readable -a massive mission at the time.I did find My Shadow Ran Fast (1964) by Bill Sands -founder of the Seventh Step Society, On the Yard (1967) by Malcolm Braly -which Kurt Vonnegut Jr. described as "a great American prison novel", and Man in Black (1968) by Johnny Cash.Ten years later, Braly (1976) wrote a great piece of nonfiction entitled False Starts: A Memoir of San Quentin and Other Prisons,
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.073 | 0.017 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".