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Record W2029744854 · doi:10.1177/1367493510364166

PRIFAM: a shared experience leading to the transformation of everyone involved

2010· article· en· W2029744854 on OpenAlexaff
Diane Pelchat

Bibliographic record

VenueJournal of Child Health Care · 2010
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGeneral partnershipIntervention (counseling)Adaptation (eye)ReciprocalPsychologyProcess (computing)Clinical PracticeDevelopmental psychologyNursingMedicinePsychiatryPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This article presents the PRIFAM, an interdisciplinary family intervention program co-constructed with parents of children with a disability. The PRIFAM's theoretical foundations, clinical model of the adaptation/transformation process and tools have enabled professionals to conceptualize many years' worth of research, clinical observations, and professional and personal experience. Through its relational foundations, the partnership forged between families and professionals contributes extensively to the adaptation of families and the well-being of professionals, by acknowledging their reciprocal resources and mutual competencies. The birth of a child with a disability triggers severe stress and plunges parents and families into a grieving process, but this process also leads to learning that generates transformation of the bereavement experience. A number of evaluative studies of the PRIFAM have demonstrated the importance of the close reciprocal relationship between research and clinical practice, which enables family intervention practices to evolve.

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)0.008
metaresearch head score (Gemma)0.015
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 score0.014
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0140.010
Scholarly communication0.0050.008
Open science0.0020.024
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0080.001

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 head0.044
GPT teacher head0.407
Teacher spread0.363 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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