MétaCan
Menu
← Back to cohort
Record W7038910198

“Just Give Us a Chance”: Supports and Challenges to Maintaining Employment as Experienced by People Who Have Been in Prison

2021· article· en· W7038910198 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonFeelingThematic analysisCriminal justicePunishment (psychology)IndigenousInjusticeQualitative research
DOInot available

Abstract

fetched live from OpenAlex

People who have been in prison tend to struggle to find meaningful employment (Opsal, 2012). While research delves into the topic of how criminalized people attain employment (Ricciardelli & Mooney, 2017; Anazodo et al., 2017), there is little known about their experiences maintaining employment. Therefore, the objective of this study is to identify the supports and challenges to maintaining employment after release from a Canadian women’s federal prison.\nFollowing Research Ethics Board (REB) approval, semi-structured interviews lasting up to 90 minutes were completed with each of six participants. Participants included two Indigenous women, three White women, and one White transgender man who all had experience in the Canadian women’s criminal justice system. Interviews explored participants’ employment history including necessary supports for seeking and maintaining employment. Interviews were analysed following the thematic analysis process outlined by Braun and Clarke (2006), which entailed generating codes and meaningful themes.\nThis research found the ability to attain and maintain employment are negatively impacted following imprisonment. For participants, a criminal record led to a lack of employment opportunities after prison (unless the work was low or minimum wage) and the feeling of being continually punished or constantly “paying back” for their decisions after release from prison. Feelings of continued punishment and defeat often led people to contemplate returning to crime, feeling it may have been easier than facing daily challenges in the community. Additionally, the two Indigenous women participants experienced frequent racism that negatively impacted their employment opportunities. Participants stated they were best able to maintain a job when connected with compassionate and comprehensive support services and workplaces that fostered flexible, compassionate, and supportive environments.\nTo increase employment opportunities and ability to maintain employment after prison, participant recommendations included addressing the stigma attached to criminalized people in the workplace and in broader society through education and storytelling. Educational work and communications strategies may support criminalized people in maintaining their jobs through increasing the number of employers who do not ask for record checks or who will hire people with criminal records. Policies that allow employers to ask about criminal background should be re-evaluated, and employers should consider excluding criminal record checks from hiring processes. Additionally, anti-Indigenous racism should continue to be addressed in Canadian society to increase employment opportunities and healing for Indigenous people. Culturally appropriate services should be implemented into a wraparound care model. A variety of healing methods in addition to culture, such as fitness or fine arts, should be explored in post-release support services. Finally, improved employment programming in prison and after prison is evident for rehabilitation and post-release success.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0180.010
Scholarly communication0.0070.004
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.252
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueScholars Commons (Wilfrid Laurier University)→Same topicSpider Taxonomy and Behavior Studies→French-language works237,207→