Bibliographic record
Abstract
The Department of Sociology would like to apply for a grant to bring to our campus Professor Peter Roche de Coppens for two full days. Professor Roche de Coppens is a Professor of Sociology, Anthropology, and Psychotherapy atEast Stroudsburg University and Adjunct Professor of Education at McGill University in Montreal. He is the author of many books in English, French, and ltalian. Dr. Roche de Coppens has lectured at many universities and research centers around the world. He has trained under Pitirim Sorokin, founder of the sociology department at Harvard University, and Roberto Assagioli of Florence, Italy. In addition to his University work Dr. Roche de Coppens has developed his own radio program, "Tools for Living" and TV program, "Soul Sculpture" in Pennsylvania. Since 1987 he has acted as a lecturer and consultant for the United Nations. Professor Roche de Coppens during the last 45 years has tried to integrate the finding and insights of social science with spirituality and holistic health'
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.538 | 0.299 |
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".