Bibliographic record
Abstract
Abstract Elliott Jaques studied medicine, and later became a major in the Canadian Army. He acted as a liaison offier with the Psychiatric Division of the British Army under Brigadier JR Rees, and in this role he made contact with psychoanalysts who worked in the British Army. Several of these officers, along with Jaques and myself, trained as psychoanalysts. Jaques was one of the founder members of the Tavistock Institute of Human Relations. In 1961 Jaques was elected as Scientific Secretary of the British Psychoanalytic Society. In 1965 he was appointed Professor and Head of the School of Social Sciences at Brunel University. In 1967 he asked me to work as a part‐time senior lecturer in the School. Jaques was a prolific writer and became known to organizations world‐wide. He was a consultant to a number of institutions, and later to governments, including the Pentagon. In 1980 he left London for the USA. Copyright © 2005 John Wiley & Sons, Ltd.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.020 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".