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Record W1977112090 · doi:10.1177/0269758014537148

Closure and its myths

2014· article· en· W1977112090 on OpenAlexafffund
Judy Eaton, Tony Christensen

Bibliographic record

VenueInternational Review of Victimology · 2014
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsWilfrid Laurier University
FundersWilfrid Laurier University
KeywordsClosure (psychology)WitnessArgument (complex analysis)FeelingSocial psychologyPsychologyForgivenessCriminologyLawPolitical scienceMedicine

Abstract

fetched live from OpenAlex

In the United States, when an offender on death row is about to be executed, family members of the victim(s) (i.e. co-victims) are permitted to witness the execution. A common justification for this practice is that it provides closure for the victims’ families (the ‘closure argument’); however, there is little empirical research to either refute or support this claim. This study examined the statements that co-victims who had attended an execution made to the press immediately following the execution, in order to learn more about their feelings about closure. The relationship between aspects of the crime, the offender’s last words, and the co-victim’s statements was also examined. Generally, results indicated that victims’ family members expressed their views on closure in various ways, and that the 23 percent who did mention closure were evenly divided on whether they felt the execution provided closure or not. Co-victims were more likely to mention some type of closure when they felt that justice had been served, and when the offender asked for forgiveness and stated a hope that the execution would bring the co-victim closure. Overall, qualitative and quantitative results did not support the closure argument.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.998

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)0.0030.000

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 head0.012
GPT teacher head0.344
Teacher spread0.332 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2014
Admission routes2
Has abstractyes

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