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Record W1982240389 · doi:10.1300/j009v26n02_06

Communication Features in an Online Group for Fathers of Children with Spina Bifida: Considerations for Group Development Among Men

2004· article· en· W1982240389 on OpenAlexaff
David Nicholas, Ted McNeill, Gallin Montgomery, C. Stapleford, Mélanie McClure

Bibliographic record

VenueSocial Work With Groups · 2004
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsSpina bifidaDialogical selfEmpowermentPsychologyAffect (linguistics)Support groupGroup (periodic table)Developmental psychologyCoding (social sciences)Social psychologyExpression (computer science)MedicineCommunicationComputer scienceSociologyPediatricsPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Following a six-month online group for fathers of children with spina bifida, the verbatim text of group interaction was reviewed and coded through an open and axial coding strategy. Themes constituted dialogical features by which fathers appeared to support one another and appropriate the benefits of an online group for men. Specific observed features comprised: the use of a story genre, information-sharing as a means of group formation and sustainability, empowerment through information-sharing, affect expression following information exchange, humor as an affect-modulating device, and affirmation with an apparent aim of instilling hope. Each feature is described and implications are discussed.

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)0.008
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 score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.052
GPT teacher head0.341
Teacher spread0.289 · 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

Citations28
Published2004
Admission routes1
Has abstractyes

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