Bibliographic record
Abstract
TO LIFE, 1950s-1970s B.F. Skinner (1904-1990) is one of the most famous and influential figures in twentieth-century psychology.A best-selling author, inventor, and social commentator, Skinner was both a renowned scientist and a public intellectual known for his controversial theories of human behavior.Beyond the Box is the first full-length study of the ways in which Skinner's ideas left the laboratory to become part of the post-war public's everyday lives, and chronicles both the enthusiasm and caution with which this process was received.Using selected case studies, Alexandra Rutherford provides a fascinating account of Skinner and his acolytes' attempts to weave their technology of human behavior into the politically turbulent fabric of 1950s to 1970s American life.To detail their innovative methods, Rutherford uses extensive archival materials and interviews to study the Skinnerians' creation of human behavior laboratories, management programs for juvenile delinquents, psychiatric wards, and prisons, as well as their influence on the self-help industry with popular books on how to quit smoking, lose weight, and be more assertive.A remarkable look at a post-war scientific and technological revolution, Beyond the Box is a rewarding study of how behavioral theories met real-life problems, and the ways in which Skinner and his followers continue to influence the present.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.353 | 0.209 |
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".