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Record W2907318954 · doi:10.7202/1082966ar

What it takes to support a loved one with FASD

2021· article· en· W2907318954 on OpenAlexvenueaboutno aff
Dorothy Reid, Simon Laplante, Ray Marnoch, Tammy Roberts, Jennifer Noah, Sonja Verena Schmidt, Wanda Beland, Shana Mohr

Bibliographic record

VenueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples · 2021
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoiceExperiential learningExperiential knowledgeAction researchKnowledge translationAction (physics)Participatory action researchPsychologyMedical educationPublic relationsSociologyPedagogyMedicineKnowledge managementPolitical scienceComputer scienceEpistemology

Abstract

fetched live from OpenAlex

This photovoice project was undertaken by the Family Advisory Committee of the Canada Fetal Alcohol Spectrum Disorder (FASD) Research Network to describe the experiences and the challenges faced by those supporting loved ones with FASD. Photovoice is a method of bringing forth the voice of those who are typically marginalized. It is a process by which people can act as recorders and potential catalysts for social action and change. The Family Advisory Committee chose the photovoice technique to communicate both their experiential knowledge and the research knowledge on both the challenges and rewards in supporting individuals with FASD. This photovoice project highlights several themes that are consistent with the results of caregiver research and provide a glimpse into the experience of those supporting loved ones with FASD. Through this type of knowledge translation the Family Advisory Committee hopes to enhance policy maker and service provider understanding of the necessity of providing support and services not only to the individual with FASD but to those who support them as well.

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)0.004
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0050.003
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.302
Teacher spread0.283 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueFirst Peoples Child & Family Review An Interdisciplinary Journal Honouring the Voices Perspectives and Knowledges of First Peoples→Same topicPrenatal Substance Exposure Effects→French-language works237,207→