A brief history of Aaron T. Beck, MD, and Cognitive Behavior Therapy
Bibliographic record
Abstract
On July 18 th , 2021, the medical and mental health community around the world will celebrate the 100 th birthday of Aaron T. Beck, MD.Dr. Beck is globally recognized as the father of Cognitive Behavior Therapy (CBT) and is one of the world's leading researchers in psychopathology.Since he developed CBT in the 1960s and 1970s, this revolutionary treatment has been found to be effective in over 2000 clinical trials for a wide range of mental disorders, psychological problems, and medical conditions with psychological components.A prolific and productive researcher with a career spanning more than 70 years, Dr. Beck has published over 600 articles and authored or co-authored 25 books.He is also the recipient of numerous awards, including the 2006 Albert Lasker Award for Clinical Medical Research and the Gustave O. Lienhard Award from the Institute of Medicine for "outstanding national achievement in improving personal health care services in the United States." He has dedicated his life to alleviating human suffering through the development of an evidence-based psychological therapy and continues his work to this day.CBT is based on the psychological construct that individuals' interpretations of situations influence their reaction (emotional, behavioral, physiological), more so than the situation itself.Further, people's interpretations may be distorted, inaccurate or unhelpful, particularly when psychopathology is present.These interpretations, termed "automatic thoughts", are often linked to maladaptive underlying beliefs that individuals have about themselves, other people, the world, or the future.Dr. Beck found that when he helped his patients evaluate and change their distorted thinking, they felt better and were able to modify their behavior.When he helped them evaluate and change their underlying beliefs, their improvement was long-lasting.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.017 | 0.015 |
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".