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Record W2081848647 · doi:10.1080/07418820802245078

Apology and Remorse in the Last Statements of Death Row Prisoners

2009· article· en· W2081848647 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJustice Quarterly · 2009
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRemorseForgivenessPsychologyEmpathySinceritySocial psychologyGratitudeCriminologyEconomic JusticeLawPolitical science

Abstract

fetched live from OpenAlex

The role of apology is beginning to receive attention from within the criminal justice system. Research suggests that both victims and offenders can benefit when the offender offers an apology and shows remorse. Less is known, however, about the frequency with which offenders apologize and the content of their apologies. In this study we conducted an exploratory analysis of remorse‐related content in the last statements of inmates on death row in Texas between December 7, 1982 and August 31, 2007. Almost one‐third of the offenders offered an apology, most of which were directed toward the victim’s family. In addition, these apologies were linked with other indications of remorse and sincerity, such as asking for forgiveness and showing empathy. Logistic regression analyses showed that apology was reliably predicted by these remorse‐related variables, but not by demographic variables or variables related to the crime itself. Implications and future research directions are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.365
Teacher spread0.341 · 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