Bibliographic record
Abstract
The Annual Review of Developmental Psychology presents a conversation with Professor Sir Michael Rutter, held remotely in the time of COVID but nonetheless wonderfully revealing of who this incredible scholar is and how he thinks. The contributions he has made to our understanding of child development are so vast and varied as to almost defy description. Erudite, articulate, and rigorous in his science, Michael Rutter is also deeply compassionate, caring, and outcome oriented. With training in medicine, neurology, pediatrics, and psychiatry, he held the first child psychiatry appointment in the United Kingdom and set up both the MRC Child Psychiatry Research Unit and the MRC Social, Genetic & Developmental Psychiatry Centre (SGDP). Unfortunately, Sir Michael passed away on October 23, 2021 while this article was in press. We feel fortunate to have had the opportunity to get to know Sir Michael, and to share this interview with you.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".