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Record W4415655233 · doi:10.1080/01924036.2025.2580489

Does house arrest impede the working alliance between probation officers and their clients? A comparison of home detention and probation cases

2025· article· en· W4415655233 on OpenAlexafffundabout
Michael Weinrath, Katharina Maier, Bilguundari Enkhtugs

Bibliographic record

VenueInternational Journal of Comparative and Applied Criminal Justice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Winnipeg
FundersCanadian Bar Association
KeywordsAllianceWork (physics)Criminal justicePower (physics)

Abstract

fetched live from OpenAlex

For serious offences, or for offenders with significant prior criminal histories, home detention offers an alternative to incarceration. House arrest nvolves a restrictive curfew that many offenders perceive as punitive, but probation officers must still establish rapport and secure compliance. One tool for assessing the therapeutic relationship, or working alliance, is the Working Alliance Inventory (WAI). This study compares WAI scores between probation and home detention cases in an urban Canadian setting (N = 186) and examines the association of working alliance ratings with gender, race, age, education, employment status, time under supervision, offence type, prior criminal history, and probation failure. Participants generally reported strong, positive relationships with their probation officers. No significant associations were found between WAI scores and type of supervision (probation vs. home detention), demographic factors, offence type, or length of supervision. Past supervision failure was associated with lower WAI scores, and this difference was statistically significant, though not large in effect size. Future qualitative research is recommended to gain deeper insights into the dynamics of probation officer – client relationships.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.305

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 head0.062
GPT teacher head0.379
Teacher spread0.317 · 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 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

Citations0
Published2025
Admission routes3
Has abstractyes

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