MétaCan
Menu
Back to cohort
Record W1555618745 · doi:10.26522/ssj.v8i1.1040

Rethinking Community Within the Context of Social Inclusion as Social Justice: Implications for Women After Federal Incarceration

2014· article· en· W1555618745 on OpenAlexaffvenueabout
Darla Fortune, Susan Arai

Bibliographic record

VenueStudies in Social Justice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInclusion (mineral)NegotiationSociologyContext (archaeology)Participatory action researchPrisonCriminologySocial exclusionPublic relationsGender studiesPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Very little is known about how women’s experiences with inclusion or exclusion shape their entry into community after they have been incarcerated. Thus, the purpose of this study was to examine inclusion from the perspective of women entering community after release from a federal prison in Ontario, Canada. This research project combined feminist participatory action research with anti-oppressive theories. Women who had been incarcerated were asked to come together to discuss ideas around inclusion and explore ways to foster a more inclusive environment. As women described the kind of community they experienced before and after incarceration, themes of being pushed out of community, being pulled into community, and negotiating issues of responsibility were evident. At the core of these themes was a powerful sense of difference. Findings suggest that deep societal change is needed for women to truly experience social inclusion upon their release from federal prison. They also suggest a role for community in supporting personal change and growth. We argue that if principles of social justice guided inclusion efforts, there would be dialogue and negotiation aimed at re-imagining social inclusion and creating a space that is hopeful and inclusive for all citizens.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0200.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.071
GPT teacher head0.412
Teacher spread0.341 · 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

Citations10
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueStudies in Social JusticeSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207