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Record W2106789302 · doi:10.1037/lhb0000130

Effects of victim presence and coercion in restorative justice: An experimental paradigm.

2015· article· en· W2106789302 on OpenAlexaff
Alana Saulnier, Diane Sivasubramaniam

Bibliographic record

VenueLaw and Human Behavior · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyCoercion (linguistics)Restorative justiceSocial psychologyRemorseProcedural justicePerceptionLegal psychologyEconomic JusticeQuality (philosophy)CriminologyLawPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

There is little experimental work examining the ways in which particular procedural features of restorative justice impact offenders. This research describes a new experimental paradigm designed to advance knowledge about causal relationships in restorative justice settings. Apologizing is a core component of restorative procedures, and can result in beneficial outcomes, but previous research suggests that coercion to apologize and the absence of victims in restorative procedures may negatively impact these outcomes. The experimental procedure elicited confessions and apologies for a transgression from participants (N = 101) in a deceptive paradigm. We manipulated coercion (coerced, not coerced) and victim presence (direct, surrogate, ambiguous) to test their effects on offenders' subjective experiences of offering an apology, as well as their effects on the quality of offenders' apologies. Findings indicated that the victim presence and coercion manipulations significantly impacted some of the subjective perceptions of apologizers, including perceptions of accountability and transgression finality. In addition, independent raters evaluated the degree to which the transgressor's apologies conveyed remorse, acceptance of guilt, and potential for dispute resolution. Victim presence and coercion consistently affected the ability of transgressors to convey high quality apologies. Implications for future research and restorative procedures 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.984

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 head0.048
GPT teacher head0.384
Teacher spread0.335 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations24
Published2015
Admission routes1
Has abstractyes

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