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Record W2583133669

Supervised Access as a Stepping Stone Rather than a Destination: A Qualitative Review of Ontario Services & Policies for Assisting Families Transitioning from Supervised Access

2016· review· en· W2583133669 on OpenAlexaffabout
Nicholas Bala, Michael Saini, Sarah Spitz

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typereview
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsQueen's University
Fundersnot available
KeywordsGovernment (linguistics)SubsidyMental healthPsychologyBusinessPublic relationsPolitical sciencePsychiatryLaw
DOInot available

Abstract

fetched live from OpenAlex

Supervised access or exchange programs are designed to facilitate safe access between a non-custodial parent and child where there are concerns about intimate partner violence, poor parenting, alienation, addiction, mental health or lack of a parent’s relationship with the child. In Ontario, the government funds programs for subsidized medication at over 100 sites. This paper reports on a project that reviewed international literature on supervised access, analyzed reported Ontario case law, and interviewed with Ontario Judges, Lawyers and Supervised Access Program providers about this service. The laying of criminal charges, often related to intimate partner violence, was the most frequently reason given by the court for considering some form of supervised access. Supervision is seen as a last resort to be used in only “extreme circumstances” and intended to be temporary, but in some cases continues for years. There is a lack of therapeutic services to facilitate transitioning to unsupervised access, and the public services are often not suitable for older children. Given the concerns long-term supervision, it will normally be appropriate for orders for supervised access to include provisions for review after a certain time period or when stipulated conditions, normally concerning the access parent, have been satisfied. There is clearly a need for further research and data, both in Ontario and more broadly. The central issues addressed in this report, how to more effectively help parents transition to unsupervised access and what are the effects of long-term supervised access, need to be studied. The views of parents and children must be considered about these and related questions.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.900
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.076
GPT teacher head0.428
Teacher spread0.352 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations4
Published2016
Admission routes2
Has abstractyes

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