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Record W3025000129 · doi:10.1108/gm-05-2019-0072

Exploring the overlooked: women, work and criminal history

2020· article· en· W3025000129 on OpenAlexaff
Nicole C. Jones Young, Kemi S. Anazodo

Bibliographic record

VenueGender in Management An International Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsCriminal historyPrisonRecidivismOriginalityStigma (botany)CriminologyPopulationWorkforceIdentity (music)Context (archaeology)PsychologyQualitative researchSocial psychologySociologyPublic relationsPolitical scienceLawPsychiatrySocial science

Abstract

fetched live from OpenAlex

Purpose This paper aims to explore how incarcerated women prepare to manage the stigma of a criminal history as they look to re-enter the workforce after release from incarceration. Design/methodology/approach This paper uses a qualitative, case study research design including interviews and observations to explore the experiences and self-perceptions of incarcerated women within the context of employment. Findings Five themes that emerged and influenced the perception of stigma as these incarcerated women prepared for release into the labor market were career self-efficacy, the intersection of identity (women and criminal history), self-perceptions of prison identity, stigma disclosure and social support for employment. Research limitations/implications As the management literature expands to include more diverse and marginalized populations, current understanding of theories and concepts, such as multiple identities and stigma disclosure, may operate differently as compared to traditional management samples. Practical implications Organizations can collaborate with correctional facilities to ensure that individuals with a criminal history are trained and prepared to re-enter the workplace upon release. Social implications As employment is one of the biggest determinants of recidivism (i.e. return to incarceration) for individuals with a criminal history, organizations have the unique ability to assist in substantially decreasing the incarcerated population. Originality/value This study explores criminal history and highlights some of the nuances to consider when exploring an understudied and marginalized population, such as women with a criminal history.

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 score0.356
Threshold uncertainty score0.748

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.204
GPT teacher head0.326
Teacher spread0.121 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueGender in Management An International JournalSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207