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Record W4306834485 · doi:10.1093/phe/phac024

The Language of Incarceration and of Persons Subject to Incarceration

2022· article· en· W4306834485 on OpenAlex
Lynette Reid

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

VenuePublic Health Ethics · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDehumanizationHealth careCriminologyCriminal justiceSubject (documents)SociologyPublic healthPublic relationsPolitical scienceMedicineLawNursing

Abstract

fetched live from OpenAlex

Abstract Reflecting on Smith (2021) in this issue, this commentary extends our consideration of issues in carceral health and questions the dehumanizing language we sometimes use—including in public health and public health ethics—to talk about persons held in incarceration. Even the language we use for the carceral system itself (such as ‘criminal justice system’) is fraught: it casts a laudatory light on the system and papers over its role in compounding racial health inequities and in sustaining colonialism. A host of issues call out for ethical analysis, using lenses that can encompass the tensions and contradictions experienced by people within the system who deliver healthcare and those within the system trying to access that care. Beyond access to health care (promotion, prevention, treatment and palliation), the societal commitment to dealing with social issues by depriving people of many key social determinants of health is at the heart of many of these tensions and contradictions.

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)0.035
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.715
GPT teacher head0.595
Teacher spread0.119 · 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