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Record W2790765886

The lived experience of foster parents in placing children in care on medication for the management of behaviors associated with fetal alcohol spectrum disorder (FASD)

2017· dissertation· en· W2790765886 on OpenAlexaboutno aff
Simone Richard

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderFoster carePsychologyDevelopmental psychologyPsychiatryFoster parentsFetal alcohol syndromePrenatal alcohol exposureMedicineClinical psychologyAlcoholNursingPregnancy
DOInot available

Abstract

fetched live from OpenAlex

First Nations children, in the care of Child and Family Services in Manitoba are often placed on medication for the management of behaviours associated with Fetal Alcohol Spectrum Disorder, or its comorbid condition Attention Deficit Hyperactivity Disorder. This study was conducted using a qualitative research design with exploratory qualitative semi-structured interviews to hear the voices of caregiver(s). Semi-structured qualitative interviews were conducted with 15 participants, between January and May of 2017. A qualitative exploratory study was used to analyze the findings, looking for emerging themes in the data. Five thematic concepts emerged; The process for determining the need for medication; the influence of the school system on suggesting the need for medication; the use of medication and other interventions; dependency created by medication and finally; outcomes of children in care with FASD.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0030.001
Open science0.0010.005
Research integrity0.0010.002
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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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 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
Published2017
Admission routes1
Has abstractyes

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