The Boston Special Youth Project Affiliation Dataset
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The Boston Special Youth Project (SYP) Affiliation dataset is a large, bipartite network representing interactions among 166 gang members from seven gangs for nearly three years. The project was conducted from June 1954 to May 1957 and represents one of the most elaborate gang intervention programs ever conducted. The SYP was a “detached-worker program,” where an adult (typically a graduate student from one of the surrounding universities) was assigned to an area (local parks, housing projects) to establish and maintain contact with and attempt to change the behaviors of the gangs. These workers collected detailed field notes (“contact cards”) documenting the activities of study gang members. However, the social network data collected on the contact cards were never analyzed by SYP staff. After the death of the project leader, Walter Miller, in 2004, the materials from the project became available to a team of researchers (faculty, graduate, and undergraduate students) in the School of Criminology and Criminal Justice at Arizona State University. These researchers electronically scanned and digitized the contact cards, and began the process of creating a network from the cards. From these cards, a bipartite network was created where 166 individuals (i.e. gang members) were connected to 33,653 events (i.e. contact cards).
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it