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Record W2918823523 · doi:10.3390/rel10030169

“Using the Language of Christian Love and Charity”: What Liberal Religion Offers Higher Education in Prison

2019· article· en· W2918823523 on OpenAlex
Charles Atkins, Joshua Dubler, Vincent Lloyd, Mel Webb

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReligions · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsUniversité de Montréal
FundersLouisville InstituteAmerican Academy of Religion
KeywordsCommitPrisonFaithFace (sociological concept)SociologyAsset (computer security)Religious educationWork (physics)Public relationsCriminologyPolitical sciencePedagogySocial scienceEpistemologyPhilosophyEngineeringComputer security

Abstract

fetched live from OpenAlex

This article explores what religious frameworks and institutions have to contribute to college-in-prison. We first provide an historical overview of higher education programs in American prisons. Then, we limn the role religion can play in motivating people to commit themselves to educating incarcerated people. Because this work is so thorny, we document some of the generic challenges programs must face and show how religious languages can be an asset in navigating these challenges. Next, we present the pedagogical practices and educational philosophies expressed among the programs in our study. We conclude with some broader reflections about teaching incarcerated people, and, after wrestling with objections, we encourage our colleagues in religious studies—those with faith commitments as well as those without them—to get involved.

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.

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)0.000
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 score0.190
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.384
Teacher spread0.346 · 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