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Record W4386141190 · doi:10.1002/joec.12213

Addressing social determinants of health: Supporting ex‐offenders’ employment through use of the Systems Theory Framework

2023· article· en· W4386141190 on OpenAlex
Alexandra Gantt‐Howrey, Chan Jeong Park, Jasmine A. H. Griffith, Janelle L. Jones, Lauren B. Robins, Kaprea F. Johnson

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

VenueJournal of Employment Counseling · 2023
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySocial justiceEconomic JusticeCriminal justiceFace (sociological concept)CriminologyPublic relationsSocial psychologyApplied psychologySociologyPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

Abstract There remains a need for counselors well‐prepared to work with ex‐offenders. As counselors aim to meet ethical obligations toward advocacy, they often seek to address social determinants of health (SDOH) challenges. Those working with ex‐offenders should be aware of unique employment challenges ex‐offenders may face and possess a baseline knowledge of the justice system for pertinent collaboration. This paper provides an explanation of how the Systems Theory Framework may be used to address ex‐offenders’ employment‐related needs through addressing SDOH challenges and collaborating with the justice system. Implications for employment counselors, counselor educators, and supervisors and steps for future research conclude.

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)0.007
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.288
GPT teacher head0.453
Teacher spread0.165 · 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