Bibliographic record
Abstract
Morris Modris Schnore died July 6, 1984, at his home in London, Ontario, after a long, courageous battle with cancer.Born in Latvia, Dr. Schnore experienced many of the miseries of the Second World War, finally immigrating to Canada in 1947 as a Displaced Person.After working for a year as a lumberjack in Kapuskasing he travelled to London, Ontario, to attend the University of Western Ontario where he received an Honours B. A. and M.A. in psychology in 1952 and 1954, respectively.In 1957 he received his Ph.D. from McGill University, following which he returned to the University of Western Ontario where he was a faculty member in the Department of Psychology for twenty-seven years.He was noted for his enthusiastic presentations in his courses and his personal interest in the education and careers of his students.Dr. Schnore's earliest research interests and publications dealt with memory function.Subsequently, these interests expanded into the effects of aging on memory and competence and attitudes toward retirement.His studies were published in professional journals and were presented to a wide variety of professional societies both in Canada and abroad.As well, he made many presentations to community groups and organizations on the subject of aging, especially as it relates to retirement.This book represents the culmination of many years of research.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.094 | 0.055 |
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".