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Record W4396686056 · doi:10.1080/24732850.2024.2349229

Innovating Services for Justice-Involved Individuals with Fetal Alcohol Spectrum Disorder: The In Reach Project

2024· article· en· W4396686056 on OpenAlexafffundabout
Mélissa Tremblay, Angela Kemble, Donna Kristiansen, Yvette Kraychy, Jennifer Pasic, Emily Pynoo

Bibliographic record

VenueJournal of Forensic Psychology Research and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsWillow Biosciences (Canada)University of Alberta
FundersEdmonton Community Foundation
KeywordsFetal Alcohol Spectrum DisorderEconomic JusticeFetal alcohol syndromePsychologyCriminal justiceCriminologyPsychiatrySpectrum (functional analysis)AlcoholPolitical sciencePregnancyChemistryBiologyPhysicsGeneticsLaw

Abstract

fetched live from OpenAlex

Fetal Alcohol Spectrum Disorder (FASD) is a term describing the range of neurocognitive, physical, behavioral, and learning difficulties resulting from prenatal alcohol exposure. Individuals with FASD are at an increased risk, relative to those without FASD, for justice system involvement. To address this concern, the Willow Winds Support Network developed and implemented the In Reach project to provide FASD-specific services and supports to residents and staff of justice facilities in Alberta, Canada. Semi-structured interviews revealed facilitators of the project’s success, emerging outcomes, and the perceived need for FASD-specific services in justice facilities. Research, practice, and policy implications are discussed.

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0020.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.090
GPT teacher head0.459
Teacher spread0.369 · 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 designNot applicable
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
Published2024
Admission routes3
Has abstractyes

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