D.C. Prisoners: Conditions of Confinement in the District of Columbia
Bibliographic record
Abstract
The appalling conditions of confinement in D.C. prison facilities, especially in light of their disproportionate impact on African-Americans, are a key criminal justice and civil rights issue in Washington DC. This is the third in a series of reports focusing on criminal justice reform and civil rights issues by the Washington Lawyers’ Committee for Civil Rights and Urban Affairs. On average, the daily population of D.C. Department of Corrections (DCDOC) facilities exceeds 2,000 prisoners. About three-quarters of these individuals are detained at the Central Detention Facility, a nearly forty-year-old facility commonly referred to as the “D.C. Jail.” Just under one quarter are detained at the privately-run Correctional Treatment Facility (CTF). The rest are located at one of the District’s three halfway houses. This report examines the conditions of confinement at the D.C. Jail and the CTF and discusses several recurring and serious problems that require the prompt attention of the DCDOC and District policymakers.
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 | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".