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Record W4388907920 · doi:10.12688/hrbopenres.13764.2

Age of first self-harm act in childhood and adolescence: A scoping review protocol

2023· review· en· W4388907920 on OpenAlexaff
Daisy Wiggin, Elaine McMahon, Fiona McNicholas, Eve Griffin

Bibliographic record

VenueHRB Open Research · 2023
Typereview
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsChild, Adolescent and Family Mental Health
FundersHealth Research Board
KeywordsHarmPsychologyDevelopmental psychologyProtocol (science)MedicineSocial psychologyAlternative medicine

Abstract

fetched live from OpenAlex

Background: Self-harm in youth is associated with adverse outcomes for many. The age of first self-harm is not often reported in the literature and there is considerable heterogeneity in how it is reported and in the methods used to estimate it. The objective of this study will be to examine the age of first self-harm act in childhood and adolescence and to identify the research methods used to assess this. Methods: This scoping review will follow JBI guidance. Five electronic databases, Medline, PsycInfo, CINAHL Plus, Embase, and Web of Science will be searched from inception. Grey literature will be searched via Google Scholar. Studies reporting the age of first act of self-harm in young people aged 17 years and younger are of interest. Any study design and methodology will be eligible for inclusion. Included studies may use any self-harm definition, any measures used to assess self-harm and the age of the first act. The focus can be in any context, including health services presenting or community samples. Title and abstract screening and full text screening will be carried out by two reviewers independently. The data extraction tool will be piloted by two reviewers independently, included studies will undergo data extraction by one reviewer and this will be checked by a second, independent reviewer. Results: The resulting data will be presented using descriptive statistics, in tabular format, and accompanied with a narrative presentation of results. The results of this study will be distributed by publication in an academic journal.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.370
GPT teacher head0.580
Teacher spread0.210 · 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 designSystematic review
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

Citations2
Published2023
Admission routes1
Has abstractyes

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