Oral history interview with Ralph Salerno, 1982
Bibliographic record
Abstract
In this interview, Ralph Salerno discusses his thirty-six year career in law enforcement, twenty years of which he spent at the New York City Police Department. He discusses his decision to become a police officer, and how his recruitment onto the force landed him in a unit that was investigating the murder of Joseph Scottoriggio, initiating his specialization in organized crime. He discusses being made a detective in 1950. Salerno describes tactics of investigation such as electronic and physical surveillance. He explains the many routes through which heroin and opium entered the United States, including through Canada, South America, and Vietnam. He discusses the impact of the Narcotic Control Act of 1956 on New York drug trafficking. He details an investigation he did in the 1960s into the Gallo-Profaci gang war. Salerno discusses his 1969 book "The Crime Confederation: Cosa Nostra and Allied Operations in Organized Crime." He describes how control of the New York City narcotics trade transitioned from mainly Jewish crime syndicates to mainly Italian crime syndicates between 1930 and 1960. Salerno describes the corruption he perceived was growing in the police force, and how it was a contributing factor in his decision to retire at forty-one years old. Salerno discusses what he believes the future of narcotic policy will be in the future in the United States
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.087 | 0.022 |
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".