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Record W4240126565 · doi:10.1017/9781108891240

Non-Emerging Adulthood

2021· book· en· W4240126565 on OpenAlexaff
Dan Dulberger, Haim Omer

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntervention (counseling)Psychological interventionPsychologyFace (sociological concept)Mental healthDevelopmental psychologyResistance (ecology)Family therapyPsychotherapistPsychiatrySociologySocial science

Abstract

fetched live from OpenAlex

This book offers a therapeutic approach to a problem that many families and mental health institutions face: a growing number of adult children who struggle to progress to a psychological, social adulthood. The family patterns that revolve around adult children can remain inert for decades, are often resistant to conventional therapy, and can cause chronic suffering to adult children, parents, and extended families. The authors present a guide that addresses parents of adult children as suffering people in their own right and as essential to assisting their child into entering functional adulthood. The authors, one of whom is the originator of the Non-Violent Resistance Therapy approach (NVR), provide an intervention manual that implements NVR principles for helping families of adult children. The book is based on the authors' ten-year journey of helping such families in cases where traditional interventions and therapeutic values seem not to work.

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.010

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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

Citations18
Published2021
Admission routes1
Has abstractyes

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