JOHN B. WATSON'S BEHAVIORIST MANIFESTO AT 100 EL MANIFIESTO CONDUCTISTA DE JOHN B. WATSON A SUS 100 AÑOS
Bibliographic record
Abstract
In this introduction to the special issue of the Mexican Journal of Behavior Analysis on Behaviorism at 100: The Legacies of Watson’s Behaviorist Manifesto, we consider Watson’s seminal 1913 Psychological Review article “Psychology as the behaviorist views it” as a contribution in its own time, and reflect on the significance of the article in both contemporary psychology and contemporary behaviorism. Despite its lukewarm reception at the time of its publication and the mixed reviews of its impact even today, it remains one of the touchstone articles in psychology and an undeniably important text in understanding the evolution of 20 th century American psychology. The different contributors to the special issue consider Watson’s article in the context of a number of subdisciplines of psychology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.016 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.000 |
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; both teacher heads agree on what is shown here.
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".