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Record W7065375134

Do Something: Does the Use of Compassionate Empathy by Staff Affect the Safety of a Colorado Correctional Facility?

2024· article· en· W7065375134 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Crossing (Liberty University) · 2024
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyThematic analysisAffect (linguistics)CompassionCriminal justiceCompassionate UseParticipant observation
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this applied multimethod study is to explore the relationship between the use of compassionate empathy and safety in a Colorado correctional facility. This research involved 25 staff members and employed a thematic analysis approach, integrating results from the Toronto Empathy questionnaire and semi-structured participant interviews. The study aimed to provide insights into the potential impact of compassionate empathy on safety within correctional facilities and inform policy and training initiatives to enhance overall safety. The findings offer valuable information to correctional administrators and policymakers in Colorado and beyond, aiding efforts to improve the safety and well-being of both staff and incarcerated residents within correctional facilities. Furthermore, this research may contribute to the broader field of criminal justice by emphasizing the role of compassionate empathy in shaping organizational culture, training material, and safety outcomes within correctional facilities, should a relationship between compassionate empathy and safety be established.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.223
Teacher spread0.196 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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