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Record W3153904356 · doi:10.1177/26326663211005251

Carceral experiences and custodial lifeworld of prisoners’ families: The impacts of ion scan technology in Canadian prisons

2021· article· en· W3153904356 on OpenAlexaffabout
Brianna Garneau, Sandra Lehalle

Bibliographic record

VenueIncarceration · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of OttawaYork University
FundersSocial Science Research Council
KeywordsPrisonImprisonmentCitizenshipLifeworldSocializationCriminologySociologyEveryday lifePolitical scienceLawSocial sciencePolitics

Abstract

fetched live from OpenAlex

The effects of imprisonment have been well-documented to go beyond the walls of carceral institutions and beyond the individual subjected to confinement. This article analyzes the expansion of carceral experiences in the lives of family members of Canadian prisoners, focusing on the use of the Ion Mobility Spectrometry device during prison visits. Drawing on testimonies, this article explores how the ion scanner not only affects the experiences of families in carceral spaces but also how the impacts are carried out into their everyday lives outside prison walls. The socialization undergone due to “secondary prisonization” leads family members to adopt a “custodial citizenship” which ultimately shapes how they interact and navigate the world—a citizenship and way of life that is unique to having an incarcerated loved one.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.070
Threshold uncertainty score0.262

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0290.014
Scholarly communication0.0050.002
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

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