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Record W2404014229

Supporting emotional health and wellbeing: the Solihull Approach.

2010· article· en· W2404014229 on OpenAlexaff
Hazel Douglas

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsPsychologyEmotional healthEmotional supportDevelopmental psychologyWell-beingQuality (philosophy)Applied psychologySocial supportMental healthSocial psychologyPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

The quality of early relationships is an important factor in the development of emotional health and wellbeing. Yet in the UK, we do not integrate support for the relationship between the baby and parents into antenatal parentcraft. Neither do we provide enough focus on the relationship in basic and post-qualification training or support for practitioners to integrate working with the relationship into their practice. The Solihull Approach provides one model for working with the relationship between parents and the child and between the parents and practitioner. It integrates concepts from disparate academic fields that can focus a practitioner's work on supporting the relationship between parents and baby or child, whether individually or in a parenting group.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.002
Science and technology studies0.0030.013
Scholarly communication0.0050.005
Open science0.0020.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.033
GPT teacher head0.292
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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Same venuePubMedSame topicFamily Support in IllnessFrench-language works237,207