Some Historical and Conceptual Background to the Development of B.F. Skinner's "Radical Behaviorism" -- Part 1.
Bibliographic record
Abstract
The present article is the first in a series of three that outlines the historical and conceptual background of B.F. Skinner's radical behaviorism. The series seeks to identify milestones in the development of Skinner's position, as well as assess the impact of particular factors and events on Skinner himself. Of special interest in this article are the biographical details of Skinner's life between June, 1926, when he received his undergraduate degree, and September, 1928, when he entered graduate school. The article also examines the intellectual climate at the start of the second quarter of the twentieth century that led Skinner to become interested in the empirical study of behavior. Overall, Skinner's views during this period were significantly influenced by (a) such literary figures in the modernist tradition as H.G. Wells and Sinclair Lewis; and (b) such scientific/philosophical figures as Francis Bacon, Jacques Loch, Ivan Pavlov, Bertrand Russell, and John B. Watson.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".