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Record W1664080752 · doi:10.1921/swssr.v17i3.794

Working together in special needs parenting: An innovative research dissemination project

2015· article· en· W1664080752 on OpenAlexaffabout
Alice Home, Irene Carter, Sandra Scarth, Rachel A. Warren

Bibliographic record

VenueSocial Work and Social Sciences Review · 2015
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCanada Council for the ArtsUniversity of WindsorUniversity of Ottawa
Fundersnot available
KeywordsFormative assessmentSummative assessmentPublic relationsKnowledge sharingMedical educationPsychologyKnowledge managementPedagogyPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Research findings are often inaccessible to those who need them and knowledge sharing between researchers, practitioners and community groups can be impeded by organizational, role and priority differences. This paper presents a university-community project designed to make research knowledge available to diverse users, facilitate their input, and build connections between diverse communities impacted by child disability. A team of Canadian researchers, social workers and community partners held workshops to discuss findings of a study on parenting adopted children with special needs and share research knowledge on advocacy for children with disabilities. Parents, service providers, professionals and organizations from disability and adoption communities met together in small mixed role groups to discuss the issues raised and identify priorities. Workshop material was captured to produce practical audio-visual and print documents, which were made available at no cost to all those who could use them. Formative and summative workshop evaluation concluded that project goals were achieved primarily because of ongoing community involvement and a respectful, open climate which encouraged sharing of expertise across roles and disciplines. Reflections of team members and community partners add data on the usefulness and challenges of this type of collaborative project.

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)0.010
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 score0.359
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.008
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.423
GPT teacher head0.552
Teacher spread0.129 · 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

Citations6
Published2015
Admission routes2
Has abstractyes

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