MétaCan
Menu
← Back to cohort
Record W4243859012 · doi:10.32920/ryerson.14644692.v1

Conceptualizing integrated service delivery for pregnant and parenting women with substance use issues: defining key factors and processes

2021· preprint· en· W4243859012 on OpenAlexaff
Tamara Lynn Meixner

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsToronto Metropolitan UniversityUniversity of Victoria
Fundersnot available
KeywordsService (business)Mental healthPsychologySubstance useMultidimensional scalingService delivery frameworkPopulationProcess (computing)Conceptual frameworkProcess managementDevelopmental psychologyMedicineComputer scienceClinical psychologyEnvironmental healthBusinessPsychiatryMarketingSociology

Abstract

fetched live from OpenAlex

Integrated substance use treatment programs for pregnant and parenting women provide comprehensive services designed to meet the complex needs of women and their children. Meta-analytic data associate participation in these programs with positive outcomes relating to maternal substance use and mental health, and child development. Given that programs are typically developed to meet locally determined needs and depend on available resources, considerable heterogeneity in treatment models and services exists. Further, little is known about process-related factors that support the integration of substance use and prenatal/parenting/child services within and between agencies. This study employed concept mapping methodology with a group of expert participants to examine their perceptions of factors and processes that support effective integrated service provision for this population. Multidimensional scaling and hierarchical cluster analysis were used to derive and define requisite factors and to examine their relative importance. Findings are discussed in relation to a preliminary conceptual framework for integrated service provision.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0030.009
Scholarly communication0.0060.006
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.266
Teacher spread0.230 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicPrenatal Substance Exposure Effects→French-language works237,207→