MétaCan
Menu
Back to cohort
Record W2093614478 · doi:10.1177/0032885507306518

Attitudes Regarding the Compassionate Release of Terminally Ill Offenders

2007· article· en· W2093614478 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Prison Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsTerminally illPsychologyAffect (linguistics)Social psychologyCompassionClinical psychologyMedicineNursingPalliative care

Abstract

fetched live from OpenAlex

Compassionate release, or medical parole, allows the early release of terminally ill offenders so that they may spend time with loved ones. Such programs have received little attention from psychological researchers. This study examines attitudes of undergraduate students toward compassionate release and factors that affect these attitudes. A total of 163 participants completed questionnaires regarding attitudes toward compassionate release, attitudes toward prisoners, and fear of AIDS. Results indicate that undergraduate students have negative attitudes toward compassionate release of offenders and toward prisoners, in general, with negative attitudes toward prisoners significantly associated with negative attitudes toward compassionate release. Fear of AIDS, however, was not associated with negative attitudes toward compassionate release, as was expected. Results suggest that negative attitudes toward compassionate release and prisoners may be an obstacle to the implementation of medical parole policies. Research examining attitudes in a broader community sample is needed.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.344
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it