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Record W2045726054 · doi:10.1080/146598904123313416

“New Choices” for substance‐using mothers and their children: Preliminary evaluation

2005· article· en· W2045726054 on OpenAlexafffundabout
Alison Niccols, Wendy Sword

Bibliographic record

VenueJournal of Substance Use · 2005
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMcMaster University
FundersOntario Ministry of Health and Long-Term Care
KeywordsSubstance useMental healthCompetence (human resources)Intervention (counseling)PsychologyEmpathyMedicineCohortClinical psychologySocial competenceDevelopmental psychologyPsychiatrySocial changeSocial psychology

Abstract

fetched live from OpenAlex

Setting, participants, intervention and measurement: New Choices is a centralized “one‐stop shop” in Hamilton, Ontario, Canada, that provides multiple services in a supportive environment for substance‐using women and their young children. Measures of substance use, social support, mental health, nutrition, parenting and child development were administered to 13 women (21–36 years old) and their 13 children (0–5 years old) when they entered the programme, and at 3 and 6 months thereafter.Findings: Results revealed a significant improvement in maternal empathy at 3 months and children's social competence at 6 months, and a decrease in maternal support of children's power and independence that was significant at 3 months but not at 6 months. Improvements in other outcomes were not statistically significant, but effect sizes were promising. Results showed more improvements after 6 than 3 months, suggesting that length of programme involvement may be an important factor in outcome.Conclusions: The findings from this small pilot study suggest that a “one‐stop” intervention for substance‐using mothers and their children might have a positive impact on many outcomes. This evaluation involved a small cohort sample, no comparison group and parent‐report measures only, so it should be viewed as exploratory and interpretation of findings made cautiously.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.037
GPT teacher head0.295
Teacher spread0.259 · 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 designObservational
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

Citations31
Published2005
Admission routes3
Has abstractyes

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