Bibliographic record
Abstract
Dr. Leonard R. Denton's professional career has spanned the fields of education, social work, program evaluation, research, and clinical psychology, in both institutional and community mental health settings. He is an advocate for community mental health and prevention programs aimed at decreasing the risk of mental/emotional and social disorders. In 1971, Denton was the primary founder of Atlantic Behavioural Science Applications, an organization for promoting the use of scientifically derived knowledge in the planning, operation, and evaluation of human service programs. On three occasions, his volunteer efforts have been recognized by the Canadian Mental Health Association, the most recent in 1998 when he received the Dr. C.M. Hincks Award for the advancement of mental health. In the same year, he was given recognition in the Nova Scotia Legislature for his service and contribution to the mental health profession. A native Nova Scotian, Dr. Denton lives in Truro, Nova Scotia, where he operates a private practice.
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 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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.051 | 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".