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Record W2091971788 · doi:10.1002/jclp.10132

Self‐administered psychosocial treatments for children and families

2003· review· en· W2091971788 on OpenAlexaff
Frank J. Elgar, Patrick J. McGrath

Bibliographic record

VenueJournal of Clinical Psychology · 2003
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsPsychosocialPsychologyAffect (linguistics)Health careClinical psychologyPsychosocial supportPsychotherapist

Abstract

fetched live from OpenAlex

Self-administered psychosocial treatments for child health problems have the potential to circumvent barriers to traditional models of care. They are convenient and inexpensive to families and, for some types of problems, may be as effective as therapist-based care. In a review of past research on child- and parent-facilitated self-administered treatments, it was found that a stronger evidence base exists in support of some formats (manual- and multimedia-based treatments) than for others (inspirational literature and support groups). The practical, ethical, and legal issues associated with self-administered treatments are discussed as well as avenues for future research. How psychologists and health care systems respond to the opportunities associated with self-administered treatments for children will likely affect the face of the profession and the health of children in the future.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.206
GPT teacher head0.526
Teacher spread0.320 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations59
Published2003
Admission routes1
Has abstractyes

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