Bibliographic record
Abstract
Frank Tannenbaum (1893-1969) is best known in criminology for his depiction of the dramatization of evil, an early precursor of labeling theory which caught on in the 1960s. Less well known is the fact that Tannenbaum was a convict criminologist. In 1914, he served a year on Blackwell’s Island (New York City) for labor disturbances involving a group of 200 unemployed and hungry men on the lower west side of Manhattan. At that time, Tannenbaum, who was only 21, was a fledgling member of the International Workers of the World (IWW). In 1922, Tannenbaum published Wall Shadows (Tannenbaum, 1922b) on his experiences with the American penal system. He served as the official reporter to the Wickersham Commission’s study on Penal Institutions, Probation and Parole (Volume 9) in 1931. Two years later, he published a biography on prison reformer Thomas Mott Osborne, a former warden of Sing Sing prison. This article discusses the career of Frank Tannenbaum as an early American convict criminologist, focusing on his personal papers in the custody of the Butler Library at Columbia University.
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".