Bibliographic record
Abstract
The Maryland Division of Correction houses 24,000 inmates in 27 geographically disparate facilities. The inmate population increasingly includes a frail, elderly component, as well as many inmates with chronic or progressive diseases. The Division houses about 900 human immunodeficiency virus (HIV)-positive detainees, almost one quarter with an acquired immune deficiency syndrome (AIDS) diagnosis. A Ryan White Special Project of National Significance (SPNS) grant and the interest of a community hospice helped transform prison hospice from idea to reality. One site is operational and a second site is due to open in the future. Both facilities serve only male inmates, who comprise more than 95% of Maryland's incarcerated. "Medical parole" is still the preferred course for terminally ill inmates; a number have been sent to various local community inpatient hospices or released to the care of their families. There will always be some who cannot be medically paroled, for whom hospice is appropriate. Maryland's prison hospice program requires a prognosis of 6 months or less to live, a do-not-resuscitate (DNR) order and patient consent. At times, the latter two of these have been problematic. Maintaining the best balance between security requirements and hospice services to dying inmates takes continual communication, coordination and cooperation. Significant complications in some areas remain: visitation to dying inmates by family and fellow prisoners; meeting special dietary requirements; what role, if any, will be played by inmate volunteers. Hospice in Maryland's Division of Correction is a work in progress.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.146 | 0.023 |
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".