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Record W4319844517 · doi:10.33423/jhetp.v23i1.5790

Experiences of Learners Who Are Incarcerated With Accessing Educational Opportunities in Ontario, Canada

2023· article· en· W4319844517 on OpenAlexaffabout
Ardavan Eizadirad, Tina-Nadia Gopal Chambers

Bibliographic record

VenueJournal of Higher Education Theory and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Guelph-HumberWilfrid Laurier University
Fundersnot available
KeywordsDeclarationThematic analysisHuman rightsLimitingPolitical sciencePublic relationsQualitative researchMedical educationSociologyMedicineLawEngineeringSocial science

Abstract

fetched live from OpenAlex

Access to education is a human right that should be upheld for everyone including individuals who are incarcerated as outlined in Article 26 of the United Nations Universal Declaration of Human Rights. 25 interviews were conducted between April to June 2021 with various key stakeholders: 5 staff involved with the delivery of educational programs in jails, 10 learners who are or were formerly incarcerated, and 10 representatives from post-secondary institutions or jails. The objective was to identify barriers limiting access to education, while incarcerated and post-release, and how such barriers can be mitigated. Responses were examined using Critical Race Theory as a paradigm and thematic analysis as a methodology. Findings indicate that access to education for individuals who are incarcerated remains limited, not prioritized, and overall an underdeveloped sector in Canada. More funding and resources need to be allocated to prioritize education and expand the capacity of incarceration facilities to offer more programming in ways that are accessible and socio-culturally relevant.

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 score0.131
Threshold uncertainty score0.998

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 head0.057
GPT teacher head0.369
Teacher spread0.312 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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