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Record W4393118488 · doi:10.1007/s11896-024-09659-w

The Continuum of Moral Harms: Correctional Officers’ Perspectives of Prison and the Influence on their Wellness

2024· article· en· W4393118488 on OpenAlexafffund
Rosemary Ricciardelli, Bethany Easterbrook, Jennifer Turner

Bibliographic record

VenueJournal of Police and Criminal Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMcMaster UniversityMemorial University of Newfoundland
FundersInstitute of Neurosciences, Mental Health and Addiction
KeywordsLegal psychologyPrisonPsychologyCriminologySocial psychology

Abstract

fetched live from OpenAlex

Abstract We apply the continuum of moral harms as described by Litz and King (J Trauma Stress 32:341–349, 2019), ranging from moral distress to moral injury, to understand the impacts of correctional officer (CO) interpretations of prison, recognizing how experiencing prison work informs their personal views. In the current study, we analyze data from 93 COs with a maximum of 2 years of work experience, to understand how, reflecting on their occupational experience, they perceive the purpose of place of their work—the federal penitentiary. Findings reveal prison as a space that they believe should be rehabilitative but which is often adamantly perceived as not rehabilitative. Accordingly, these contradictory circumstances reveal most officers encounter workplace experiences that may be consistent with current conceptualizations of moral frustration, distress, or injury. Thus, we demonstrate how prison work can produce moral challenges for COs. We recommend further study into the conceptualizations of moral harm in prison work more broadly and how to inform proactive strategies to address sources of these deleterious experiences.

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)0.001
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 score0.215
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.025
GPT teacher head0.364
Teacher spread0.339 · 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

Citations16
Published2024
Admission routes2
Has abstractyes

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