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Record W1996668466 · doi:10.1080/13596740902921414

Bringing a lemon to a lifer: tutoring in prison

2009· article· en· W1996668466 on OpenAlexfundno aff
Mich Page

Bibliographic record

VenueResearch in Post-Compulsory Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersYork University
KeywordsPrisonMeaning (existential)EthnographyValue (mathematics)Action (physics)SociologyPsychologyMeaning-makingReflection (computer programming)EpistemologyPedagogySocial psychologyCriminologyComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

This prison‐based research is grounded upon ‘reflection‐in‐action’, intertwining the accounts of a reflective prisoner and a reflective practitioner. Through use of ethnographic methods it seeks to make sense of the contradictions encountered while tutoring prisoners. The research story shows how meaning conflicts have been negotiated, not always successfully, and how prisoner choices, particularly those relating to education, are severely limited by incarceration. Taking a lemon into prison as a visual aid for a tutorial will serve to illustrate the intended (liberating) and unintended (damaging) consequences of an outsiders’ misunderstanding of the insiders’ contexts. There is a dual purpose to this enquiry: it aims to provide a general insight into the value of prison education, and a specific insight, into a particular prisoner’s learning experiences. The methods used in this study have assembled stories, which become the ‘objects of reality’. These are not just a translation of the socio‐cultural experiences of the participants, but a ‘systemic’ meaning‐making exercise between both prisoner and researcher, creating co‐equal authorship.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
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 head0.081
GPT teacher head0.472
Teacher spread0.391 · 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 designOther design
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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueResearch in Post-Compulsory EducationSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207