MétaCan
Menu
Back to cohort
Record W6931395214 · doi:10.5281/zenodo.7810961

COVID-19 Pandemic Challenges for Families of Children and Youth Impacted by Fetal Alcohol Spectrum Disorder

2023· article· en· W6931395214 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIrrigation Practices and Water Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderMental healthRespite carePsychological interventionPandemicAlcohol use disorderInterpretative phenomenological analysisOccupational safety and healthAutism spectrum disorder

Abstract

fetched live from OpenAlex

<em>Research has consistently shown that parents of children with fetal alcohol spectrum disorder (FASD) experience greater levels of stress, severely impacting their quality of life. Since the beginning of the COVID-19 pandemic, there has been a growing concern about increased challenges experienced by these families. A mixed-methods approach was used to address our research questions. An anonymous online survey (n = 17) along with semi-structured interviews (n = 10) conducted over the time period of October and November 2020 were used to explore the needs and challenges of families of children and youth with FASD during the pandemic. Interview transcripts were coded and analyzed using interpretative phenomenological analysis. The most striking finding for caregivers was an increased occurrence of their children’s challenging behaviours, including aggression. Previous mental health issues of children were reported as being exacerbated due to the disruption in services, loss of routines and structures. Several parents reported being diagnosed with post-traumatic stress disorder as a result of caring for their children. Placement instability, mental health issues in the child, siblings and parents were all amplified. This study underscores the need for increased mental health support for individuals with FASD and their families, including safe and accessible respite options and interventions to respond to dangerous behaviours and aggression both during the pandemic and post-pandemic.</em>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.265
Teacher spread0.195 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicIrrigation Practices and Water ManagementFrench-language works237,207