B. F. Skinner's technology of behavior in American life: From consumer culture to counterculture
Bibliographic record
Abstract
From the 1940s through the 1970s, articles in popular magazines and newspapers presented B. F. Skinner in a wide array of guises, from educational revolutionary and utopian to totalitarian and fascist. Understanding these diverse, and often contradictory, portrayals requires a consideration of the social and political discourses in which they were embedded. In this paper, I suggest that reports of Skinner's work were influenced by a number of cultural categories, from the better living campaign of the 1950s, to the counterculture crusade of the late 1960s. Through this examination, a multifaceted rendering of Skinner's public image that takes into account the nature of his work, the context in which it was produced, and the culture in which it was received is revealed. I propose that the received view of Skinner as maligned behaviorist actually obscures the complexity of his relationship with psychology's public throughout this period.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, 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".