Bibliographic record
Abstract
It was 1956 when Dan Offord saw the Christie Lake Camp for the first time. It would not be the last. Forty-five years later, the well-known child psychiatrist still spends most of his summers as director at the camp, which was founded near Perth, Ont., in 1922 to cater to poor and disadvantaged boys. Today, almost 400 boys and girls aged from 9 to 14 arrive every summer to learn outdoor skills and, along the way, to build their self-esteem. “We see all the problems that go along with being economically disadvantaged,” says the man known as “Dr. Dan” to hundreds of campers. “They have a higher proportion of behavioural and emotional problems. They cover up their soft feelings, such as sadness and feeling homesick, with harder feelings, such as anger and antagonism.” The camp activities complement his clinical work and research, he adds. “One has helped the other. What we know in child psychiatry, we apply at the camp. What I see clinically at the camp, I can apply to my research.” Offord, head of the Division of Child Psychiatry at McMaster University, is founding director of the Canadian Centre for Studies of Children at Risk, which investigates children's mental health issues and trains researchers. The Queen's University graduate, who was named to the Order of Canada last fall, also maintains a clinical practice in Hamilton. Before coming to McMaster in 1978, he held academic positions in Florida and Pennsylvania and at the University of Ottawa. Offord was principal investigator in the 1983 Ontario Child Health Study, which determined that 20% of Ontario children showed signs of mental-health disorders. He was also coinvestigator in the 1987 follow-up study that examined the influence of early health determinants on adult health, life quality and social functioning. Dr. Ellen Lipman, an associate professor of psychiatry at McMaster, says Offord is a role model and mentor to many. “He's had a positive impact on a number of people who have become researchers in the area of children's mental health. He's very good at inspiring people to take on challenges.” Although Offord has worked in many cities in Canada and the US, he faithfully returns to Christie Lake each summer. Much of his life centres around the camp. His children and wife Sondra spent their summers there, and after Sondra was killed in an accident, Offord credits the camp with helping him work through his grief. It also proved pivotal in helping him meet his second wife, Margaret. “Her daughter was one of our counsellors,” he explains. The camp seems to engender loyalty. “It's terrific,” says Offord. “Often kids will get off the bus and say, ‘My Dad wants me to remember him to you.’ When they start saying, ‘My grandfather wants me to remember him to you,’ I'll know it's time to quit.” Yet Offord says he can't imagine retiring from the camp. “I feel vital up there. There's a lot to be said for doing something above and beyond your regular work. There's a tremendous payoff — for me personally, for my work, for my family.”
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.027 |
| Insufficient payload (model declined to judge) | 0.032 | 0.010 |
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".