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Record W3213892383 · doi:10.1007/s10578-021-01282-8

Global Workforce Development in Father Engagement Competencies for Family-Based Interventions Using an Online Training Program: A Mixed-Method Feasibility Study

2021· article· en· W3213892383 on OpenAlexaffabout
Vilas Sawrikar, Alexandra L. Plant, Brendan F. Andrade, Matt Woolgar, Stephen Scott, Eli Gardner, Celia Dean, Lucy A. Tully, David J. Hawes, Mark R. Dadds

Bibliographic record

VenueChild Psychiatry & Human Development · 2021
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersMovember Foundation
KeywordsWorkforcePsychological interventionCompetence (human resources)PsychologyMedical educationWorkforce developmentBenchmarkingParent trainingNursingApplied psychologyIntervention (counseling)MedicineSocial psychology

Abstract

fetched live from OpenAlex

Global access to practitioner training in the clinical engagement of fathers in family-based interventions is limited. The current study evaluated the feasibility of training practitioners in Canada and UK using online training developed in Australia by examining improvements in practitioner confidence and competence in father engagement, training satisfaction, qualitative feedback, and benchmarking results to those from an Australian sample. Practitioners were recruited to participate in a 2-h online training program through health services and charity organisations. The online program required practitioners to watch a video and complete self-reflection exercises in a digital workbook. Pre- and post-training measures were collected immediately before and after the online training program. The results indicated significantly large improvements in self-reported confidence and competence in engaging fathers following training, with levels of improvement similar to those found in Australia. Training satisfaction was high and qualitative feedback suggested providing local resources and increasing representation of social diversity could improve training relevance in local contexts. The findings suggest online training in father engagement can contribute to global workforce development in improving practitioners' skills in engaging fathers in family-based interventions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.265
GPT teacher head0.497
Teacher spread0.232 · 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 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

Citations4
Published2021
Admission routes2
Has abstractyes

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