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Record W2943854227 · doi:10.1108/edi-10-2018-0185

Criminal history and employment: an interdisciplinary literature synthesis

2019· article· en· W2943854227 on OpenAlexaff
Jakari N. Griffith, Candalyn B. Rade, Kemi S. Anazodo

Bibliographic record

VenueEquality Diversity and Inclusion An International Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsWork (physics)CriminologyCriminal recordCriminal historyCriminal investigationSociologyPsychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a systematic review of research conducted over the past ten years (2008–2018) that examines the relationship between criminal record and work in the USA. Furthermore, a research agenda is presented that may help to better inform future investigations of the relationships shared between these variables. Design/methodology/approach The authors review 58 peer-reviewed research articles identified in four electronic article databases: Business Source Premier, PsycINFO, ProQuest Sociology Collection and ProQuest Criminology Collection. Findings Of the 58 articles fitting the final inclusion criteria, 37 evaluated employee specific related outcomes, whereas 24 took the perspective of the employer (including some overlap). Studies employed a variety of methodologies and techniques, with qualitative interviews, archival data and audit methods as the most prevalent. Few studies examined the relationships between criminal record and work in ways that demonstrated improved employment outcomes for both employer and the employed together. Originality/value This is one of the first papers to synthesize interdisciplinary literature related to criminal record and employment, including an assessment of the varying methodological treatments and perspectives used in research studies to assess this relationship. The authors believe the findings from this research effort will provide much needed research direction for investigators seeking to make contributions to improving employment outcomes.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

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 studies0.0060.000
Scholarly communication0.0000.002
Open science0.0000.007
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.352
Teacher spread0.307 · 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 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

Citations27
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueEquality Diversity and Inclusion An International JournalSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207